Search/USN-8374-1: Linux kernel vulnerabilities
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USN-8374-1: Linux kernel vulnerabilities

It was discovered that the Linux kernel algif_aead module did not properly handle in-place cryptographic operations. This flaw is known as Copy Fail. A local attacker could use this to escalate privileges, or possibly escape a container. (CVE-2026-31431) It was discovered that the Linux kernel did not properly handle shared page fragments during socket buffer operations, collectively known as Dirty Frag. A logic flaw existed in the XFRM ESP-in-TCP subsystem and in the RxRPC networking subsystem when processing paged fragments. A local attacker could use this to escalate privileges, or possibly escape a container. (CVE-2026-43284, CVE-2026-43500, CVE-2026-45998, CVE-2026-46000) It was discovered that a logic flaw existed in the XFRM ESP-in-TCP subsystem in the Linux kernel when handling…

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CVEs
18
Highest CVSS
8.8
In KEV
0
Sources
5
Key vulnerabilities
top 3 of 18 by CVSS
CVE-2026-43503CVSS 8.8

In the Linux kernel, the following vulnerability has been resolved: net: skbuff: propagate shared-frag marker through frag-transfer helpers Two frag-transfer helpers (__pskb_copy_fclone() and skb_shift()) fail to propagate the SKBFL_SHARED_FRAG bit in skb_shinfo()->flags when moving frags from source to destination. __pskb_copy_fclone() defers the rest of the shinfo metadata to skb_copy_header() after copying frag descriptors, but that helper only carries over gso_{size,segs, type} and never touches skb_shinfo()->flags; skb_shift() moves frag descriptors directly and leaves flags untouched. As a result, the destination skb keeps a reference to the same externally-owned or page-cache-backed…

CVE-2026-43284CVSS 8.8

In the Linux kernel, the following vulnerability has been resolved: xfrm: esp: avoid in-place decrypt on shared skb frags MSG_SPLICE_PAGES can attach pages from a pipe directly to an skb. TCP marks such skbs with SKBFL_SHARED_FRAG after skb_splice_from_iter(), so later paths that may modify packet data can first make a private copy. The IPv4/IPv6 datagram append paths did not set this flag when splicing pages into UDP skbs. That leaves an ESP-in-UDP packet made from shared pipe pages looking like an ordinary uncloned nonlinear skb. ESP input then takes the no-COW fast path for uncloned skbs without a frag_list and decrypts in place over data that is not owned privately by the skb. Mark…

CVE-2026-47333CVSS 7.8

Ubuntu Linux 6.8, 6.17 and 7.0 contain AppArmor SAUCE patches which can potentially incorrectly compute the size of an internal buffer, leading to a heap memory out-of-bounds read in notification handling code. The bug can be triggered by an unprivileged local user and can result in invalid data being processed by the AppArmor DFA policy engine.

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Autonomous AI-driven worm can reason its way through corporate networks
Autonomous AI-driven worm can reason its way through corporate networks Researchers at the University of Toronto, the Vector Institute, and the University of Cambridge have built and tested a proof-of-concept AI-driven worm that does not operate on a fixed list of exploits. Instead, it analyzes each target it encounters, reasons about how to attack it, and creates a strategy on the fly, all with the help of a small, free large language model (LLM) running directly on machines it has already compromised. A worm that runs on open-weight models hosted on compromised hardware “Our prototype targets publicly disclosed but unpatched vulnerabilities, misconfigurations, and recurring weakness classes — which is what the majority of real-world cyberattacks rely on,” the researchers noted. “It does not require the capability to discover novel zero-days, only an AI model that is capable enough to operationalize known vulnerabilities against diverse target configurations.” Deployed inside an isolated 33-host test network spanning Linux servers, Windows machines, and IoT devices with known vulnerabilities, misconfigurations, and recurring weakness classes, the worm ran for 7 days per experimental trial across 15 independent runs. How the AI worm spreads from an agent process running on a Kali machine (Source: CleverHans Lab at the University of Toronto) On average it correctly identified 31.3 vulnerabilities, exploited 23.1 hosts to elevated access, and propagated to 20.4 hosts, the researchers explained in their (pre-print) paper. The worm also demonstrated an ability to exploit vulnerabilities disclosed after its underlying model’s training cutoff (Copy Fail, Dirty Frag and a Marimo RCE), by reading publicly available security advisories at runtime and using the information to craft working exploits. Finally, the worm diagnosed unexpected failures and found workarounds using general reasoning. For example, it found the hardcoded IP blocklist in its own source code and rewrote it, unprompted. In another example, when replicas crashed on Alpine Linux and Windows Server 2008 hosts due to a VM-detection check bug, the parent worm found the attestation source file on the target machine, removed the failing check, and retried successfully. The prototype worm does not rely on commercial AI platforms What makes the prototype particularly unsettling is how it sustains itself: the worm hijacks GPU-equipped machines it infects and runs its language model locally on stolen compute. Low-resource devices such as IoT sensors, which cannot host the model themselves, route their reasoning queries upstream to infected GPU nodes. Controls put in place by commercial AI platforms are ineffectual to stop this new type of threat, and that safety guardrails on open-weight models can be bypassed when an attacker fully controls the local execution environment. “The proof-of-concept we evaluated inherits capability limitations of the underlying model. Individual exploitation attempts succeeded in 44% of cases, with the majority of failures attributable to malformed payloads rather than incorrect strategy,” the researchers noted. “The worm struggled particularly with web application structures, Windows command environments, and payload syntax requiring precise string manipulation. These reflect the code-generation ceiling of a current-generation single-GPU model, not a fundamental constraint on the approach, and are expected to narrow as language models improve at code generation and structured output. Despite this per-attempt fragility, the swarm architecture compensated through parallel, independent reasoning trajectories to achieve our reported results.” The best defenses against AI-driven worms, for now The researchers are candid about the dual-use nature of their work and have withheld operational details, including the agent’s reasoning architecture and full toolset and the name of the LLM used, from the public paper. Before release, they disclosed their findings to several Canadian science, security and defense authorities, and received help to ensure the paper did not contain information that could help attackers. (Security researchers may request access to the prototype from the University of Toronto.) Due to it innovative self-replicating capabilities, the researchers were also extremely careful about keeping the worm contained to their testing lab. “This work provides empirical evidence that autonomous cyberoffence has crossed from theoretical risk to demonstrated capability, a challenge that spans AI research, cybersecurity, and public policy,” they pointed out. “This research uncovered a new cybersecurity threat the world is not prepared to face. Researchers, industry, policymakers and everyday people need to come together with urgency to address this new cybersecurity threat.” On the defensive side, the research lays out two priorities: Organizations should employ AI-assisted automated penetration testing and fuzzing tools against themselves, to reveal (and patch) exploitable weaknesses in their own infrastructure before an adversary finds them Good network segmentation can substantially contain the worm’s spread. Zero-trust principles, which require continuous authentication for every access request rather than trusting anything inside the perimeter, and micro-segmentation, which limits how far a foothold can be leveraged, are of the essence. While the behavioral signatures of this prototype worm can be spotted by network monitoring and intrusion detection systems, future ones created by malicious actors may be more adept at evading them, they warned. Subscribe to our breaking news e-mail alert to never miss out on the latest breaches, vulnerabilities and cybersecurity threats. Subscribe here!
helpnetsecurity.comJun 3, 2026extracted
USN-8374-1: Linux kernel vulnerabilities
Packages linux-aws-6.17 - Linux kernel for Amazon Web Services (AWS) systems linux-gcp - Linux kernel for Google Cloud Platform (GCP) systems linux-gcp-6.17 - Linux kernel for Google Cloud Platform (GCP) systems Details It was discovered that the Linux kernel algif_aead module did not properly handle in-place cryptographic operations. This flaw is known as Copy Fail. A local attacker could use this to escalate privileges, or possibly escape a container. (CVE-2026-31431) It was discovered that the Linux kernel did not properly handle shared page fragments during socket buffer operations, collectively known as Dirty Frag. A logic flaw existed in the XFRM ESP-in-TCP subsystem and in the RxRPC networking subsystem when processing paged fragments. A local attacker could use this to escalate privileges, or possibly escape a container. (CVE-2026-43284, CVE-2026-43500, CVE-2026-45998, CVE-2026-46000) It was discovered that a logic flaw existed in the XFRM... It was discovered that the Linux kernel algif_aead module did not properly handle in-place cryptographic operations. This flaw is known as Copy Fail. A local attacker could use this to escalate privileges, or possibly escape a container. (CVE-2026-31431) It was discovered that the Linux kernel did not properly handle shared page fragments during socket buffer operations, collectively known as Dirty Frag. A logic flaw existed in the XFRM ESP-in-TCP subsystem and in the RxRPC networking subsystem when processing paged fragments. A local attacker could use this to escalate privileges, or possibly escape a container. (CVE-2026-43284, CVE-2026-43500, CVE-2026-45998, CVE-2026-46000) It was discovered that a logic flaw existed in the XFRM ESP-in-TCP subsystem in the Linux kernel when handling socket buffer fragments. This flaw is known as Fragnesia. A local attacker could use this to escalate privileges, or possibly escape a container. (CVE-2026-43503, CVE-2026-46300) Qualys discovered that a race condition existed in the ptrace subsystem of the Linux kernel when privileged processes are exiting. An unprivileged local attacker could use this issue to expose sensitive information. (CVE-2026-46333) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contain a memory leak when handling AppArmor notifications. A local attacker could use this to cause resource exhaustion. (CVE-2026-47326) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contain a NULL pointer dereference when handling AppArmor notifications. A local attacker could use this to cause a kernel oops. (CVE-2026-47327) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained an invalid free when handling AppArmor notifications. A local attacker could use this to corrupt kernel memory. (CVE-2026-47328) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained insufficient validation of AppArmor notification responses. A local attacker could use this to allow crafted responses to be processed. (CVE-2026-47329) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 used an uninitialized variable when handling AppArmor notifications. A local attacker could use this to cause incorrect caching of data. (CVE-2026-47330) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained an out-of-bounds (OOB) read when handling AppArmor notifications. A local attacker could use this to cause information disclosure of kernel memory. (CVE-2026-47332) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained a out-of-bounds (OOB) read when handling AppArmor notifications. A local attacker could use this to cause kernel memory corruption and, theoretically, influence processing of AppArmor policies. (CVE-2026-47333) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained incorrect holding of locks when handling AppArmor notifications. A local attacker could use this to cause a kernel panic or deadlock. (CVE-2026-47334) Tristan Madani and Trevor Lawrence have each independently discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained a NULL pointer dereference when handling AppArmor network socket mediation. A local attacker could use this to cause a kernel oops. (CVE-2026-47337) Several security issues were discovered in the Linux kernel. An attacker could possibly use these to compromise the system. This update corrects flaws in the following subsystems: S390 architecture; Cryptographic API; GPU drivers; Ethernet bonding driver; Network file system (NFS) server daemon; Distributed Switch Architecture; Netfilter; Control group (cgroup); Kernel kexec() syscall; Memory management; MAC80211 subsystem; Multipath TCP; Packet sockets; RDS protocol; RxRPC session sockets; TLS protocol; Unix domain sockets; AppArmor security module Update instructions The problem can be corrected by updating your system to the following package versions: Reduce your security exposure Ubuntu Pro provides ten-year security coverage to 25,000+ packages in Main and Universe repositories, and it is free for up to five machines.
ubuntu.comJun 2, 2026extracted
USN-8373-1: Linux kernel vulnerabilities
Packages linux - Linux kernel linux-aws - Linux kernel for Amazon Web Services (AWS) systems linux-aws-6.8 - Linux kernel for Amazon Web Services (AWS) systems linux-aws-fips - Linux kernel for Amazon Web Services (AWS) systems with FIPS linux-azure - Linux kernel for Microsoft Azure Cloud systems linux-fips - Linux kernel with FIPS linux-gcp - Linux kernel for Google Cloud Platform (GCP) systems linux-gcp-6.8 - Linux kernel for Google Cloud Platform (GCP) systems linux-gcp-fips - Linux kernel for Google Cloud Platform (GCP) systems with FIPS linux-gke - Linux kernel for Google Container Engine (GKE) systems linux-gkeop - Linux kernel for Google Container Engine (GKE) systems linux-hwe-6.8 - Linux hardware enablement (HWE) kernel linux-ibm - Linux kernel for IBM cloud systems linux-ibm-6.8 - Linux kernel for IBM cloud systems linux-nvidia - Linux kernel for NVIDIA systems linux-nvidia-6.8 - Linux kernel for NVIDIA systems linux-nvidia-lowlatency - Linux low latency kernel for NVIDIA systems linux-nvidia-tegra - Linux kernel for NVIDIA Tegra systems linux-oracle - Linux kernel for Oracle Cloud systems linux-oracle-6.8 - Linux kernel for Oracle Cloud systems linux-raspi - Linux kernel for Raspberry Pi systems linux-raspi-realtime - Linux kernel for Raspberry Pi Real-time systems linux-realtime - Linux kernel for Real-time systems linux-realtime-6.8 - Linux kernel for Real-time systems Details It was discovered that the Linux kernel did not properly handle shared page fragments during socket buffer operations, collectively known as Dirty Frag. A logic flaw existed in the XFRM ESP-in-TCP subsystem and in the RxRPC networking subsystem when processing paged fragments. A local attacker could use this to escalate privileges, or possibly escape a container. (CVE-2026-43284, CVE-2026-43500, CVE-2026-45998, CVE-2026-46000) It was discovered that a logic flaw existed in the XFRM ESP-in-TCP subsystem in the Linux kernel when handling socket buffer fragments. This flaw is known as Fragnesia. A local attacker could use this to escalate privileges, or possibly escape a container. (CVE-2026-43503, It was discovered that the Linux kernel did not properly handle shared page fragments during socket buffer operations, collectively known as Dirty Frag. A logic flaw existed in the XFRM ESP-in-TCP subsystem and in the RxRPC networking subsystem when processing paged fragments. A local attacker could use this to escalate privileges, or possibly escape a container. (CVE-2026-43284, CVE-2026-43500, CVE-2026-45998, CVE-2026-46000) It was discovered that a logic flaw existed in the XFRM ESP-in-TCP subsystem in the Linux kernel when handling socket buffer fragments. This flaw is known as Fragnesia. A local attacker could use this to escalate privileges, or possibly escape a container. (CVE-2026-43503, CVE-2026-46300) Qualys discovered that a race condition existed in the ptrace subsystem of the Linux kernel when privileged processes are exiting. An unprivileged local attacker could use this issue to expose sensitive information. (CVE-2026-46333) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contain a memory leak when handling AppArmor notifications. A local attacker could use this to cause resource exhaustion. (CVE-2026-47326) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contain a NULL pointer dereference when handling AppArmor notifications. A local attacker could use this to cause a kernel oops. (CVE-2026-47327) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained an invalid free when handling AppArmor notifications. A local attacker could use this to corrupt kernel memory. (CVE-2026-47328) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained insufficient validation of AppArmor notification responses. A local attacker could use this to allow crafted responses to be processed. (CVE-2026-47329) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 used an uninitialized variable when handling AppArmor notifications. A local attacker could use this to cause incorrect caching of data. (CVE-2026-47330) Tristan Madani discovered that Ubuntu Linux kernel 6.8 contained a use- after-free (UAF) bug. A local attacker could use this to cause memory corruption and, theoretically, arbitrary code execution. (CVE-2026-47331) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained an out-of-bounds (OOB) read when handling AppArmor notifications. A local attacker could use this to cause information disclosure of kernel memory. (CVE-2026-47332) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained a out-of-bounds (OOB) read when handling AppArmor notifications. A local attacker could use this to cause kernel memory corruption and, theoretically, influence processing of AppArmor policies. (CVE-2026-47333) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained incorrect holding of locks when handling AppArmor notifications. A local attacker could use this to cause a kernel panic or deadlock. (CVE-2026-47334) Tristan Madani discovered that Ubuntu Linux kernel 6.8 contained a NULL pointer dereference when handling AppArmor notifications. A local attacker could use this to cause a kernel panic. (CVE-2026-47335) Tristan Madani discovered that Ubuntu Linux kernel 6.8 used an uninitialized variable when handling AppArmor AF_INET/AF_INET6 socket mediation. A local attacker could use this to influence processing of fine- grained network socket mediation. (CVE-2026-47336) Tristan Madani and Trevor Lawrence have each independently discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained a NULL pointer dereference when handling AppArmor network socket mediation. A local attacker could use this to cause a kernel oops. (CVE-2026-47337) Several security issues were discovered in the Linux kernel. An attacker could possibly use these to compromise the system. This update corrects flaws in the following subsystems: RDS protocol; RxRPC session sockets Update instructions The problem can be corrected by updating your system to the following package versions: Reduce your security exposure Ubuntu Pro provides ten-year security coverage to 25,000+ packages in Main and Universe repositories, and it is free for up to five machines.
ubuntu.comJun 2, 2026extracted
USN-8371-1: Linux kernel vulnerabilities
Packages linux - Linux kernel linux-aws - Linux kernel for Amazon Web Services (AWS) systems linux-azure - Linux kernel for Microsoft Azure Cloud systems linux-azure-6.17 - Linux kernel for Microsoft Azure cloud systems linux-hwe-6.17 - Linux hardware enablement (HWE) kernel linux-nvidia-6.17 - Linux kernel for NVIDIA systems linux-oem-6.17 - Linux kernel for OEM systems linux-oracle - Linux kernel for Oracle Cloud systems linux-oracle-6.17 - Linux kernel for Oracle Cloud systems linux-raspi - Linux kernel for Raspberry Pi systems linux-realtime - Linux kernel for Real-time systems linux-realtime-6.17 - Linux kernel for Real-time systems Details It was discovered that the Linux kernel did not properly handle shared page fragments during socket buffer operations, collectively known as Dirty Frag. A logic flaw existed in the XFRM ESP-in-TCP subsystem and in the RxRPC networking subsystem when processing paged fragments. A local attacker could use this to escalate privileges, or possibly escape a container. (CVE-2026-43284, CVE-2026-43500, CVE-2026-45998, CVE-2026-46000) It was discovered that a logic flaw existed in the XFRM ESP-in-TCP subsystem in the Linux kernel when handling socket buffer fragments. This flaw is known as Fragnesia. A local attacker could use this to escalate privileges, or possibly escape a container. (CVE-2026-43503, It was discovered that the Linux kernel did not properly handle shared page fragments during socket buffer operations, collectively known as Dirty Frag. A logic flaw existed in the XFRM ESP-in-TCP subsystem and in the RxRPC networking subsystem when processing paged fragments. A local attacker could use this to escalate privileges, or possibly escape a container. (CVE-2026-43284, CVE-2026-43500, CVE-2026-45998, CVE-2026-46000) It was discovered that a logic flaw existed in the XFRM ESP-in-TCP subsystem in the Linux kernel when handling socket buffer fragments. This flaw is known as Fragnesia. A local attacker could use this to escalate privileges, or possibly escape a container. (CVE-2026-43503, CVE-2026-46300) Qualys discovered that a race condition existed in the ptrace subsystem of the Linux kernel when privileged processes are exiting. An unprivileged local attacker could use this issue to expose sensitive information. (CVE-2026-46333) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contain a memory leak when handling AppArmor notifications. A local attacker could use this to cause resource exhaustion. (CVE-2026-47326) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contain a NULL pointer dereference when handling AppArmor notifications. A local attacker could use this to cause a kernel oops. (CVE-2026-47327) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained an invalid free when handling AppArmor notifications. A local attacker could use this to corrupt kernel memory. (CVE-2026-47328) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained insufficient validation of AppArmor notification responses. A local attacker could use this to allow crafted responses to be processed. (CVE-2026-47329) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 used an uninitialized variable when handling AppArmor notifications. A local attacker could use this to cause incorrect caching of data. (CVE-2026-47330) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained an out-of-bounds (OOB) read when handling AppArmor notifications. A local attacker could use this to cause information disclosure of kernel memory. (CVE-2026-47332) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained a out-of-bounds (OOB) read when handling AppArmor notifications. A local attacker could use this to cause kernel memory corruption and, theoretically, influence processing of AppArmor policies. (CVE-2026-47333) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained incorrect holding of locks when handling AppArmor notifications. A local attacker could use this to cause a kernel panic or deadlock. (CVE-2026-47334) Tristan Madani and Trevor Lawrence have each independently discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained a NULL pointer dereference when handling AppArmor network socket mediation. A local attacker could use this to cause a kernel oops. (CVE-2026-47337) Several security issues were discovered in the Linux kernel. An attacker could possibly use these to compromise the system. This update corrects flaws in the following subsystems: RDS protocol; RxRPC session sockets Update instructions The problem can be corrected by updating your system to the following package versions: Reduce your security exposure Ubuntu Pro provides ten-year security coverage to 25,000+ packages in Main and Universe repositories, and it is free for up to five machines.
ubuntu.comJun 2, 2026extracted
USN-8370-1: Linux kernel vulnerabilities
Packages linux - Linux kernel linux-aws - Linux kernel for Amazon Web Services (AWS) systems linux-gcp - Linux kernel for Google Cloud Platform (GCP) systems linux-ibm - Linux kernel for IBM cloud systems linux-nvidia - Linux kernel for NVIDIA systems linux-oracle - Linux kernel for Oracle Cloud systems linux-raspi - Linux kernel for Raspberry Pi systems linux-realtime - Linux kernel for Real-time systems Details It was discovered that the Linux kernel did not properly handle shared page fragments during socket buffer operations, collectively known as Dirty Frag. A logic flaw existed in the XFRM ESP-in-TCP subsystem and in the RxRPC networking subsystem when processing paged fragments. A local attacker could use this to escalate privileges, or possibly escape a container. (CVE-2026-43284, CVE-2026-43500, CVE-2026-45998, CVE-2026-46000) It was discovered that a logic flaw existed in the XFRM ESP-in-TCP subsystem in the Linux kernel when handling socket buffer fragments. This flaw is known as Fragnesia. A local attacker could use this to escalate privileges, or possibly escape a container. (CVE-2026-43503, It was discovered that the Linux kernel did not properly handle shared page fragments during socket buffer operations, collectively known as Dirty Frag. A logic flaw existed in the XFRM ESP-in-TCP subsystem and in the RxRPC networking subsystem when processing paged fragments. A local attacker could use this to escalate privileges, or possibly escape a container. (CVE-2026-43284, CVE-2026-43500, CVE-2026-45998, CVE-2026-46000) It was discovered that a logic flaw existed in the XFRM ESP-in-TCP subsystem in the Linux kernel when handling socket buffer fragments. This flaw is known as Fragnesia. A local attacker could use this to escalate privileges, or possibly escape a container. (CVE-2026-43503, CVE-2026-46300) Qualys discovered that a race condition existed in the ptrace subsystem of the Linux kernel when privileged processes are exiting. An unprivileged local attacker could use this issue to expose sensitive information. (CVE-2026-46333) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contain a memory leak when handling AppArmor notifications. A local attacker could use this to cause resource exhaustion. (CVE-2026-47326) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contain a NULL pointer dereference when handling AppArmor notifications. A local attacker could use this to cause a kernel oops. (CVE-2026-47327) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained an invalid free when handling AppArmor notifications. A local attacker could use this to corrupt kernel memory. (CVE-2026-47328) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained insufficient validation of AppArmor notification responses. A local attacker could use this to allow crafted responses to be processed. (CVE-2026-47329) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 used an uninitialized variable when handling AppArmor notifications. A local attacker could use this to cause incorrect caching of data. (CVE-2026-47330) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained an out-of-bounds (OOB) read when handling AppArmor notifications. A local attacker could use this to cause information disclosure of kernel memory. (CVE-2026-47332) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained a out-of-bounds (OOB) read when handling AppArmor notifications. A local attacker could use this to cause kernel memory corruption and, theoretically, influence processing of AppArmor policies. (CVE-2026-47333) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained incorrect holding of locks when handling AppArmor notifications. A local attacker could use this to cause a kernel panic or deadlock. (CVE-2026-47334) Tristan Madani and Trevor Lawrence have each independently discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained a NULL pointer dereference when handling AppArmor network socket mediation. A local attacker could use this to cause a kernel oops. (CVE-2026-47337) A security issue was discovered in the Linux kernel. An attacker could possibly use this to compromise the system. This update corrects flaws in the following subsystem: RDS protocol Update instructions The problem can be corrected by updating your system to the following package versions: Reduce your security exposure Ubuntu Pro provides ten-year security coverage to 25,000+ packages in Main and Universe repositories, and it is free for up to five machines.
ubuntu.comJun 2, 2026extracted
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USN-8493-1: Linux kernel vulnerabilities
It was discovered that the Linux kernel algif_aead module did not properly handle in-place cryptographic operations. This flaw is known as Copy Fail. A local attacker could use this to escalate privileges, or possibly escape a container. (CVE-2026-31431) It was discovered that the Linux kernel did not properly handle shared page fragments during socket buffer operations, collectively known as Dirty Frag. A logic flaw existed in the XFRM ESP-in-TCP subsystem and in the RxRPC networking subsystem when processing paged fragments. A local attacker could use this to escalate privileges, or possibly escape a container. (CVE-2026-43284, CVE-2026-43500, CVE-2026-45998, CVE-2026-46000) It was discovered that a logic flaw existed in the XFRM ESP-in-TCP subsystem in the Linux kernel when handling socket buffer fragments. This flaw is known as Fragnesia. A local attacker could use this to escalate privileges, or possibly escape a container. (CVE-2026-43503, CVE-2026-46300) Qualys discovered that a race condition existed in the ptrace subsystem of the Linux kernel when privileged processes are exiting. An unprivileged local attacker could use this issue to expose sensitive information. (CVE-2026-46333) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contain a memory leak when handling AppArmor notifications. A local attacker could use this to cause resource exhaustion. (CVE-2026-47326) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contain a NULL pointer dereference when handling AppArmor notifications. A local attacker could use this to cause a kernel oops. (CVE-2026-47327) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained an invalid free when handling AppArmor notifications. A local attacker could use this to corrupt kernel memory. (CVE-2026-47328) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained insufficient validation of AppArmor notification responses. A local attacker could use this to allow crafted responses to be processed. (CVE-2026-47329) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 used an uninitialized variable when handling AppArmor notifications. A local attacker could use this to cause incorrect caching of data. (CVE-2026-47330) Tristan Madani discovered that Ubuntu Linux kernel 6.8 contained a use- after-free (UAF) bug. A local attacker could use this to cause memory corruption and, theoretically, arbitrary code execution. (CVE-2026-47331) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained an out-of-bounds (OOB) read when handling AppArmor notifications. A local attacker could use this to cause information disclosure of kernel memory. (CVE-2026-47332) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained a out-of-bounds (OOB) read when handling AppArmor notifications. A local attacker could use this to cause kernel memory corruption and, theoretically, influence processing of AppArmor policies. (CVE-2026-47333) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained incorrect holding of locks when handling AppArmor notifications. A local attacker could use this to cause a kernel panic or deadlock. (CVE-2026-47334) Tristan Madani discovered that Ubuntu Linux kernel 6.8 contained a NULL pointer dereference when handling AppArmor notifications. A local attacker could use this to cause a kernel panic. (CVE-2026-47335) Tristan Madani discovered that Ubuntu Linux kernel 6.8 used an uninitialized variable when handling AppArmor AF_INET/AF_INET6 socket mediation. A local attacker could use this to influence processing of fine- grained network socket mediation. (CVE-2026-47336) Tristan Madani and Trevor Lawrence have each independently discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained a NULL pointer dereference when handling AppArmor network socket mediation. A local attacker could use this to cause a kernel oops. (CVE-2026-47337) Several security issues were discovered in the Linux kernel. An attacker could possibly use these to compromise the system. This update corrects flaws in the following subsystems: - Foo-over-UDP (FOU); - ARM64 architecture; - MIPS architecture; - PowerPC architecture; - x86 architecture; - Block layer subsystem; - Cryptographic API; - Intel NPU Driver; - ACPI drivers; - ATM drivers; - Drivers core; - Null block device driver; - RNBD block device driver; - Ublk userspace block driver; - Bluetooth drivers; - Bus devices; - Character device driver; - TPM device driver; - Clock framework and drivers; - Clocksource drivers; - Counter interface drivers; - CPU idle management framework; - Hardware crypto device drivers; - DMA engine subsystem; - DPLL subsystem; - EFI core; - GPIO subsystem; - GPU drivers; - HID subsystem; - Hardware monitoring drivers; - Intel Trace Hub HW tracing drivers; - IIO subsystem; - IIO ADC drivers; - InfiniBand drivers; - On-Chip Interconnect management framework; - IOMMU subsystem; - IRQ chip drivers; - Modular ISDN driver; - LED subsystem; - Multiple devices driver; - Media drivers; - Multifunction device drivers; - Broadcom VK accelerator driver; - UACCE accelerator framework; - MMC subsystem; - MOST (Media Oriented Systems Transport) drivers; - MTD block device drivers; - Ethernet bonding driver; - Network drivers; - Mellanox network drivers; - STMicroelectronics network drivers; - NTB driver; - NVME drivers; - PCI subsystem; - Performance monitor drivers; - PHY drivers; - Pin controllers subsystem; - x86 platform drivers; - i.MX PM domains; - Power supply drivers; - RapidIO drivers; - RAS (Reliability, Availability, Serviceability) subsystem; - Remote Processor subsystem; - RPMSG subsystem; - S/390 drivers; - SCSI subsystem; - SLIMbus drivers; - MediaTek SoC drivers; - Texas Instruments SoC drivers; - SPI subsystem; - Greybus lights staging drivers; - Realtek RTL8723BS SDIO drivers; - TCM subsystem; - UFS subsystem; - ChipIdea USB driver; - DesignWare USB3 driver; - USB over IP driver; - vDPA drivers; - Virtio Host (VHOST) subsystem; - Framebuffer layer; - W1 Dallas's 1-wire bus driver; - Xen hypervisor drivers; - BTRFS file system; - File systems infrastructure; - Ceph distributed file system; - EFI Variable file system; - exFAT file system; - Ext4 file system; - F2FS file system; - FAT file system; - GFS2 file system; - HFS+ file system; - JFS file system; - Network file system (NFS) client; - Network file system (NFS) server daemon; - NILFS2 file system; - NTFS3 file system; - OCFS2 file system; - Proc file system; - Pstore file system; - Diskquota system; - SMB network file system; - XFS file system; - Audit subsystem; - Memory Management; - Scheduler infrastructure; - IPv6 networking; - Netfilter; - NFC subsystem; - Tracing infrastructure; - io_uring subsystem; - BPF subsystem; - Perf events; - Kernel kexec() syscall; - RCU subsystem; - Floating proportions library; - Scatterlist API; - Memory management; - 9P file system network protocol; - Asynchronous Transfer Mode (ATM) subsystem; - B.A.T.M.A.N. meshing protocol; - Bluetooth subsystem; - Ethernet bridge; - CAN network layer; - Ceph Core library; - Networking core; - IPv4 networking; - KCM (Kernel Connection Multiplexor) sockets driver; - L2TP protocol; - MAC80211 subsystem; - Multipath TCP; - NET/ROM layer; - Packet sockets; - RDS protocol; - RxRPC session sockets; - Network traffic control; - SCTP protocol; - SMC sockets; - Sun RPC protocol; - TLS protocol; - Unix domain sockets; - VMware vSockets driver; - Wireless networking; - X.25 network layer; - XFRM subsystem; - AppArmor security module; - Simplified Mandatory Access Control Kernel framework; - ALSA AC97 driver; - Generic PCM loopback sound driver; - Creative Sound Blaster X-Fi driver; - AMD SoC Alsa drivers; - Texas InstrumentS Audio (ASoC/HDA) drivers; - SOF drivers; - USB sound devices; - KVM subsystem; (CVE-2024-50004, CVE-2024-58096, CVE-2024-58097, CVE-2025-37926, CVE-2025-38201, CVE-2025-38591, CVE-2025-40005, CVE-2025-40039, CVE-2025-40082, CVE-2025-40149, CVE-2025-68351, CVE-2025-68358, CVE-2025-68365, CVE-2025-68725, CVE-2025-68749, CVE-2025-68803, CVE-2025-68823, CVE-2025-71160, CVE-2025-71162, CVE-2025-71163, CVE-2025-71180, CVE-2025-71182, CVE-2025-71183, CVE-2025-71184, CVE-2025-71185, CVE-2025-71186, CVE-2025-71188, CVE-2025-71189, CVE-2025-71190, CVE-2025-71191, CVE-2025-71192, CVE-2025-71193, CVE-2025-71194, CVE-2025-71195, CVE-2025-71196, CVE-2025-71197, CVE-2025-71198, CVE-2025-71199, CVE-2025-71200, CVE-2025-71220, CVE-2025-71222, CVE-2025-71224, CVE-2025-71225, CVE-2025-71229, CVE-2025-71231, CVE-2025-71232, CVE-2025-71233, CVE-2025-71235, CVE-2025-71236, CVE-2025-71237, CVE-2025-71238, CVE-2025-71239, CVE-2025-71265, CVE-2025-71266, CVE-2025-71267, CVE-2025-71268, CVE-2025-71272, CVE-2025-71273, CVE-2025-71274, CVE-2025-71286, CVE-2025-71291, CVE-2025-71292, CVE-2025-71294, CVE-2025-71295, CVE-2025-71297, CVE-2025-71304, CVE-2025-71305, CVE-2026-22976, CVE-2026-22977, CVE-2026-22978, CVE-2026-22979, CVE-2026-22980, CVE-2026-22982, CVE-2026-22984, CVE-2026-22990, CVE-2026-22991, CVE-2026-22992, CVE-2026-22994, CVE-2026-22996, CVE-2026-22997, CVE-2026-22998, CVE-2026-22999, CVE-2026-23000, CVE-2026-23001, CVE-2026-23003, CVE-2026-23005, CVE-2026-23006, CVE-2026-23010, CVE-2026-23011, CVE-2026-23019, CVE-2026-23020, CVE-2026-23021, CVE-2026-23025, CVE-2026-23026, CVE-2026-23030, CVE-2026-23031, CVE-2026-23032, CVE-2026-23033, CVE-2026-23035, CVE-2026-23037, CVE-2026-23038, CVE-2026-23047, CVE-2026-23049, CVE-2026-23050, CVE-2026-23053, CVE-2026-23054, CVE-2026-23056, CVE-2026-23057, CVE-2026-23058, CVE-2026-23059, CVE-2026-23061, CVE-2026-23062, CVE-2026-23063, CVE-2026-23064, CVE-2026-23065, CVE-2026-23068, CVE-2026-23069, CVE-2026-23071, CVE-2026-23073, CVE-2026-23075, CVE-2026-23076, CVE-2026-23078, CVE-2026-23080, CVE-2026-23083, CVE-2026-23084, CVE-2026-23085, CVE-2026-23086, CVE-2026-23087, CVE-2026-23088, CVE-2026-23089, CVE-2026-23090, CVE-2026-23091, CVE-2026-23093, CVE-2026-23094, CVE-2026-23095, CVE-2026-23096, CVE-2026-23097, CVE-2026-23098, CVE-2026-23099, CVE-2026-23100, CVE-2026-23101, CVE-2026-23102, CVE-2026-23103, CVE-2026-23105, CVE-2026-23107, CVE-2026-23108, CVE-2026-23110, CVE-2026-23113, CVE-2026-23116, CVE-2026-23119, CVE-2026-23120, CVE-2026-23121, CVE-2026-23123, CVE-2026-23124, CVE-2026-23125, CVE-2026-23126, CVE-2026-23128, CVE-2026-23129, CVE-2026-23131, CVE-2026-23133, CVE-2026-23135, CVE-2026-23136, CVE-2026-23139, CVE-2026-23140, CVE-2026-23141, CVE-2026-23142, CVE-2026-23144, CVE-2026-23145, CVE-2026-23146, CVE-2026-23148, CVE-2026-23150, CVE-2026-23151, CVE-2026-23156, CVE-2026-23159, CVE-2026-23160, CVE-2026-23163, CVE-2026-23164, CVE-2026-23166, CVE-2026-23167, CVE-2026-23168, CVE-2026-23169, CVE-2026-23170, CVE-2026-23172, CVE-2026-23173, CVE-2026-23176, CVE-2026-23178, CVE-2026-23179, CVE-2026-23180, CVE-2026-23182, CVE-2026-23187, CVE-2026-23190, CVE-2026-23191, CVE-2026-23193, CVE-2026-23198, CVE-2026-23200, CVE-2026-23202, CVE-2026-23204, CVE-2026-23205, CVE-2026-23206, CVE-2026-23212, CVE-2026-23213, CVE-2026-23214, CVE-2026-23215, CVE-2026-23216, CVE-2026-23220, CVE-2026-23221, CVE-2026-23222, CVE-2026-23228, CVE-2026-23229, CVE-2026-23230, CVE-2026-23233, CVE-2026-23234, CVE-2026-23235, CVE-2026-23236, CVE-2026-23237, CVE-2026-23238, CVE-2026-23241, CVE-2026-23242, CVE-2026-23243, CVE-2026-23249, CVE-2026-23254, CVE-2026-23256, CVE-2026-23257, CVE-2026-23258, CVE-2026-23260, CVE-2026-23261, CVE-2026-23262, CVE-2026-23264, CVE-2026-23266, CVE-2026-23267, CVE-2026-23272, CVE-2026-23274, CVE-2026-23278, CVE-2026-23351, CVE-2026-23392, CVE-2026-23394, CVE-2026-23428, CVE-2026-23450, CVE-2026-23455, CVE-2026-31402, CVE-2026-31411, CVE-2026-31418, CVE-2026-31419, CVE-2026-31436, CVE-2026-31448, CVE-2026-31478, CVE-2026-31504, CVE-2026-31533, CVE-2026-31607, CVE-2026-31637, CVE-2026-31649, CVE-2026-31657, CVE-2026-31659, CVE-2026-31668, CVE-2026-31669, CVE-2026-31676, CVE-2026-31682, CVE-2026-31685, CVE-2026-31687, CVE-2026-31693, CVE-2026-43011, CVE-2026-43033, CVE-2026-43037, CVE-2026-43038, CVE-2026-43071, CVE-2026-43077, CVE-2026-43078, CVE-2026-43114, CVE-2026-43117, CVE-2026-43123, CVE-2026-43124, CVE-2026-43128, CVE-2026-43130, CVE-2026-43132, CVE-2026-43133, CVE-2026-43134, CVE-2026-43135, CVE-2026-43136, CVE-2026-43137, CVE-2026-43139, CVE-2026-43140, CVE-2026-43141, CVE-2026-43143, CVE-2026-43145, CVE-2026-43147, CVE-2026-43148, CVE-2026-43149, CVE-2026-43150, CVE-2026-43152, CVE-2026-43153, CVE-2026-43156, CVE-2026-43157, CVE-2026-43158, CVE-2026-43159, CVE-2026-43163, CVE-2026-43167, CVE-2026-43168, CVE-2026-43169, CVE-2026-43170, CVE-2026-43171, CVE-2026-43173, CVE-2026-43175, CVE-2026-43180, CVE-2026-43182, CVE-2026-43183, CVE-2026-43184, CVE-2026-43186, CVE-2026-43187, CVE-2026-43189, CVE-2026-43190, CVE-2026-43194, CVE-2026-43196, CVE-2026-43199, CVE-2026-43200, CVE-2026-43201, CVE-2026-43202, CVE-2026-43203, CVE-2026-43205, CVE-2026-43206, CVE-2026-43207, CVE-2026-43209, CVE-2026-43211, CVE-2026-43212, CVE-2026-43214, CVE-2026-43215, CVE-2026-43218, CVE-2026-43221, CVE-2026-43222, CVE-2026-43223, CVE-2026-43225, CVE-2026-43226, CVE-2026-43227, CVE-2026-43230, CVE-2026-43231, CVE-2026-43232, CVE-2026-43233, CVE-2026-43236, CVE-2026-43238, CVE-2026-43239, CVE-2026-43241, CVE-2026-43242, CVE-2026-43244, CVE-2026-43246, CVE-2026-43248, CVE-2026-43249, CVE-2026-43250, CVE-2026-43251, CVE-2026-43253, CVE-2026-43255, CVE-2026-43256, CVE-2026-43257, CVE-2026-43258, CVE-2026-43261, CVE-2026-43262, CVE-2026-43264, CVE-2026-43266, CVE-2026-43268, CVE-2026-43269, CVE-2026-43270, CVE-2026-43271, CVE-2026-43273, CVE-2026-43275, CVE-2026-43277, CVE-2026-43278, CVE-2026-43279, CVE-2026-43283, CVE-2026-43287, CVE-2026-43288, CVE-2026-43289, CVE-2026-43291, CVE-2026-43295, CVE-2026-43296, CVE-2026-43297, CVE-2026-43300, CVE-2026-43302, CVE-2026-43304, CVE-2026-43312, CVE-2026-43313, CVE-2026-43314, CVE-2026-43315, CVE-2026-43316, CVE-2026-43317, CVE-2026-43318, CVE-2026-43319, CVE-2026-43320, CVE-2026-43341, CVE-2026-43378, CVE-2026-43383, CVE-2026-43384, CVE-2026-43406, CVE-2026-43407, CVE-2026-43414, CVE-2026-43493, CVE-2026-43494, CVE-2026-43501, CVE-2026-45847, CVE-2026-45848, CVE-2026-45849, CVE-2026-45851, CVE-2026-45852, CVE-2026-45856, CVE-2026-45857, CVE-2026-45859, CVE-2026-45860, CVE-2026-45861, CVE-2026-45862, CVE-2026-45864, CVE-2026-45865, CVE-2026-45866, CVE-2026-45867, CVE-2026-45868, CVE-2026-45869, CVE-2026-45870, CVE-2026-45871, CVE-2026-45872, CVE-2026-45873, CVE-2026-45875, CVE-2026-45877, CVE-2026-45878, CVE-2026-45879, CVE-2026-45880, CVE-2026-45881, CVE-2026-45882, CVE-2026-45883, CVE-2026-45884, CVE-2026-45885, CVE-2026-45886, CVE-2026-45890, CVE-2026-45891, CVE-2026-45893, CVE-2026-45895, CVE-2026-45902, CVE-2026-45904, CVE-2026-45905, CVE-2026-45910, CVE-2026-45912, CVE-2026-45913, CVE-2026-45914, CVE-2026-45915, CVE-2026-45916, CVE-2026-45917, CVE-2026-45919, CVE-2026-45921, CVE-2026-45923, CVE-2026-45928, CVE-2026-45935, CVE-2026-45936, CVE-2026-45938, CVE-2026-45941, CVE-2026-45946, CVE-2026-45947, CVE-2026-45948, CVE-2026-45954, CVE-2026-45957, CVE-2026-45960, CVE-2026-45962, CVE-2026-45964, CVE-2026-45965, CVE-2026-45968, CVE-2026-45969, CVE-2026-45970, CVE-2026-45973, CVE-2026-45974, CVE-2026-45976, CVE-2026-45978, CVE-2026-45981, CVE-2026-45982, CVE-2026-45983, CVE-2026-45984, CVE-2026-45988, CVE-2026-46028, CVE-2026-46043, CVE-2026-46115, CVE-2026-46119, CVE-2026-46135, CVE-2026-46185, CVE-2026-46195, CVE-2026-46243, CVE-2026-46244, CVE-2026-46246, CVE-2026-46247, CVE-2026-46249, CVE-2026-46250, CVE-2026-46251, CVE-2026-46253, CVE-2026-46254, CVE-2026-46255, CVE-2026-46259, CVE-2026-46261, CVE-2026-46265, CVE-2026-46266, CVE-2026-46267, CVE-2026-46270, CVE-2026-46289, CVE-2026-46323, CVE-2026-46328)
9 shared
Jul 3, 2026
USN-8501-1: Linux kernel vulnerabilities
It was discovered that the Linux kernel algif_aead module did not properly handle in-place cryptographic operations. This flaw is known as Copy Fail. A local attacker could use this to escalate privileges, or possibly escape a container. (CVE-2026-31431) It was discovered that the Linux kernel did not properly handle shared page fragments during socket buffer operations, collectively known as Dirty Frag. A logic flaw existed in the XFRM ESP-in-TCP subsystem and in the RxRPC networking subsystem when processing paged fragments. A local attacker could use this to escalate privileges, or possibly escape a container. (CVE-2026-43284, CVE-2026-43500, CVE-2026-45998, CVE-2026-46000) It was discovered that a logic flaw existed in the XFRM ESP-in-TCP subsystem in the Linux kernel when handling socket buffer fragments. This flaw is known as Fragnesia. A local attacker could use this to escalate privileges, or possibly escape a container. (CVE-2026-43503, CVE-2026-46300) Qualys discovered that a race condition existed in the ptrace subsystem of the Linux kernel when privileged processes are exiting. An unprivileged local attacker could use this issue to expose sensitive information. (CVE-2026-46333) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contain a memory leak when handling AppArmor notifications. A local attacker could use this to cause resource exhaustion. (CVE-2026-47326) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contain a NULL pointer dereference when handling AppArmor notifications. A local attacker could use this to cause a kernel oops. (CVE-2026-47327) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained an invalid free when handling AppArmor notifications. A local attacker could use this to corrupt kernel memory. (CVE-2026-47328) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained insufficient validation of AppArmor notification responses. A local attacker could use this to allow crafted responses to be processed. (CVE-2026-47329) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 used an uninitialized variable when handling AppArmor notifications. A local attacker could use this to cause incorrect caching of data. (CVE-2026-47330) Tristan Madani discovered that Ubuntu Linux kernel 6.8 contained a use- after-free (UAF) bug. A local attacker could use this to cause memory corruption and, theoretically, arbitrary code execution. (CVE-2026-47331) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained an out-of-bounds (OOB) read when handling AppArmor notifications. A local attacker could use this to cause information disclosure of kernel memory. (CVE-2026-47332) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained a out-of-bounds (OOB) read when handling AppArmor notifications. A local attacker could use this to cause kernel memory corruption and, theoretically, influence processing of AppArmor policies. (CVE-2026-47333) Tristan Madani discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained incorrect holding of locks when handling AppArmor notifications. A local attacker could use this to cause a kernel panic or deadlock. (CVE-2026-47334) Tristan Madani discovered that Ubuntu Linux kernel 6.8 contained a NULL pointer dereference when handling AppArmor notifications. A local attacker could use this to cause a kernel panic. (CVE-2026-47335) Tristan Madani discovered that Ubuntu Linux kernel 6.8 used an uninitialized variable when handling AppArmor AF_INET/AF_INET6 socket mediation. A local attacker could use this to influence processing of fine- grained network socket mediation. (CVE-2026-47336) Tristan Madani and Trevor Lawrence have each independently discovered that Ubuntu Linux kernel 6.8, 6.17 and 7.0 contained a NULL pointer dereference when handling AppArmor network socket mediation. A local attacker could use this to cause a kernel oops. (CVE-2026-47337) Several security issues were discovered in the Linux kernel. An attacker could possibly use these to compromise the system. This update corrects flaws in the following subsystems: - Foo-over-UDP (FOU); - ARM64 architecture; - MIPS architecture; - PowerPC architecture; - x86 architecture; - Block layer subsystem; - Cryptographic API; - Intel NPU Driver; - ACPI drivers; - ATM drivers; - Drivers core; - Null block device driver; - RNBD block device driver; - Ublk userspace block driver; - Bluetooth drivers; - Bus devices; - Character device driver; - TPM device driver; - Clock framework and drivers; - Clocksource drivers; - Counter interface drivers; - CPU idle management framework; - Hardware crypto device drivers; - DMA engine subsystem; - DPLL subsystem; - EFI core; - GPIO subsystem; - GPU drivers; - HID subsystem; - Hardware monitoring drivers; - Intel Trace Hub HW tracing drivers; - IIO subsystem; - IIO ADC drivers; - InfiniBand drivers; - On-Chip Interconnect management framework; - IOMMU subsystem; - IRQ chip drivers; - Modular ISDN driver; - LED subsystem; - Multiple devices driver; - Media drivers; - Multifunction device drivers; - Broadcom VK accelerator driver; - UACCE accelerator framework; - MMC subsystem; - MOST (Media Oriented Systems Transport) drivers; - MTD block device drivers; - Ethernet bonding driver; - Network drivers; - Mellanox network drivers; - STMicroelectronics network drivers; - NTB driver; - NVME drivers; - PCI subsystem; - Performance monitor drivers; - PHY drivers; - Pin controllers subsystem; - x86 platform drivers; - i.MX PM domains; - Power supply drivers; - RapidIO drivers; - RAS (Reliability, Availability, Serviceability) subsystem; - Remote Processor subsystem; - RPMSG subsystem; - S/390 drivers; - SCSI subsystem; - SLIMbus drivers; - MediaTek SoC drivers; - Texas Instruments SoC drivers; - SPI subsystem; - Greybus lights staging drivers; - Realtek RTL8723BS SDIO drivers; - TCM subsystem; - UFS subsystem; - ChipIdea USB driver; - DesignWare USB3 driver; - USB over IP driver; - vDPA drivers; - Virtio Host (VHOST) subsystem; - Framebuffer layer; - W1 Dallas's 1-wire bus driver; - Xen hypervisor drivers; - BTRFS file system; - File systems infrastructure; - Ceph distributed file system; - EFI Variable file system; - exFAT file system; - Ext4 file system; - F2FS file system; - FAT file system; - GFS2 file system; - HFS+ file system; - JFS file system; - Network file system (NFS) client; - Network file system (NFS) server daemon; - NILFS2 file system; - NTFS3 file system; - OCFS2 file system; - Proc file system; - Pstore file system; - Diskquota system; - SMB network file system; - XFS file system; - Audit subsystem; - Memory Management; - Scheduler infrastructure; - IPv6 networking; - Netfilter; - NFC subsystem; - Tracing infrastructure; - io_uring subsystem; - BPF subsystem; - Perf events; - Kernel kexec() syscall; - RCU subsystem; - Floating proportions library; - Scatterlist API; - Memory management; - 9P file system network protocol; - Asynchronous Transfer Mode (ATM) subsystem; - B.A.T.M.A.N. meshing protocol; - Bluetooth subsystem; - Ethernet bridge; - CAN network layer; - Ceph Core library; - Networking core; - IPv4 networking; - KCM (Kernel Connection Multiplexor) sockets driver; - L2TP protocol; - MAC80211 subsystem; - Multipath TCP; - NET/ROM layer; - Packet sockets; - RDS protocol; - RxRPC session sockets; - Network traffic control; - SCTP protocol; - SMC sockets; - Sun RPC protocol; - TLS protocol; - Unix domain sockets; - VMware vSockets driver; - Wireless networking; - X.25 network layer; - XFRM subsystem; - AppArmor security module; - Simplified Mandatory Access Control Kernel framework; - ALSA AC97 driver; - Generic PCM loopback sound driver; - Creative Sound Blaster X-Fi driver; - AMD SoC Alsa drivers; - Texas InstrumentS Audio (ASoC/HDA) drivers; - SOF drivers; - USB sound devices; - KVM subsystem; (CVE-2024-50004, CVE-2024-58096, CVE-2024-58097, CVE-2025-37926, CVE-2025-38201, CVE-2025-38591, CVE-2025-40005, CVE-2025-40039, CVE-2025-40082, CVE-2025-40149, CVE-2025-68351, CVE-2025-68358, CVE-2025-68365, CVE-2025-68725, CVE-2025-68749, CVE-2025-68803, CVE-2025-68823, CVE-2025-71160, CVE-2025-71162, CVE-2025-71163, CVE-2025-71180, CVE-2025-71182, CVE-2025-71183, CVE-2025-71184, CVE-2025-71185, CVE-2025-71186, CVE-2025-71188, CVE-2025-71189, CVE-2025-71190, CVE-2025-71191, CVE-2025-71192, CVE-2025-71193, CVE-2025-71194, CVE-2025-71195, CVE-2025-71196, CVE-2025-71197, CVE-2025-71198, CVE-2025-71199, CVE-2025-71200, CVE-2025-71220, CVE-2025-71222, CVE-2025-71224, CVE-2025-71225, CVE-2025-71229, CVE-2025-71231, CVE-2025-71232, CVE-2025-71233, CVE-2025-71235, CVE-2025-71236, CVE-2025-71237, CVE-2025-71238, CVE-2025-71239, CVE-2025-71265, CVE-2025-71266, CVE-2025-71267, CVE-2025-71268, CVE-2025-71272, CVE-2025-71273, CVE-2025-71274, CVE-2025-71286, CVE-2025-71291, CVE-2025-71292, CVE-2025-71294, CVE-2025-71295, CVE-2025-71297, CVE-2025-71304, CVE-2025-71305, CVE-2026-22976, CVE-2026-22977, CVE-2026-22978, CVE-2026-22979, CVE-2026-22980, CVE-2026-22982, CVE-2026-22984, CVE-2026-22990, CVE-2026-22991, CVE-2026-22992, CVE-2026-22994, CVE-2026-22996, CVE-2026-22997, CVE-2026-22998, CVE-2026-22999, CVE-2026-23000, CVE-2026-23001, CVE-2026-23003, CVE-2026-23005, CVE-2026-23006, CVE-2026-23010, CVE-2026-23011, CVE-2026-23019, CVE-2026-23020, CVE-2026-23021, CVE-2026-23025, CVE-2026-23026, CVE-2026-23030, CVE-2026-23031, CVE-2026-23032, CVE-2026-23033, CVE-2026-23035, CVE-2026-23037, CVE-2026-23038, CVE-2026-23047, CVE-2026-23049, CVE-2026-23050, CVE-2026-23053, CVE-2026-23054, CVE-2026-23056, CVE-2026-23057, CVE-2026-23058, CVE-2026-23059, CVE-2026-23061, CVE-2026-23062, CVE-2026-23063, CVE-2026-23064, CVE-2026-23065, CVE-2026-23068, CVE-2026-23069, CVE-2026-23071, CVE-2026-23073, CVE-2026-23075, CVE-2026-23076, CVE-2026-23078, CVE-2026-23080, CVE-2026-23083, CVE-2026-23084, CVE-2026-23085, CVE-2026-23086, CVE-2026-23087, CVE-2026-23088, CVE-2026-23089, CVE-2026-23090, CVE-2026-23091, CVE-2026-23093, CVE-2026-23094, CVE-2026-23095, CVE-2026-23096, CVE-2026-23097, CVE-2026-23098, CVE-2026-23099, CVE-2026-23100, CVE-2026-23101, CVE-2026-23102, CVE-2026-23103, CVE-2026-23105, CVE-2026-23107, CVE-2026-23108, CVE-2026-23110, CVE-2026-23113, CVE-2026-23116, CVE-2026-23119, CVE-2026-23120, CVE-2026-23121, CVE-2026-23123, CVE-2026-23124, CVE-2026-23125, CVE-2026-23126, CVE-2026-23128, CVE-2026-23129, CVE-2026-23131, CVE-2026-23133, CVE-2026-23135, CVE-2026-23136, CVE-2026-23139, CVE-2026-23140, CVE-2026-23141, CVE-2026-23142, CVE-2026-23144, CVE-2026-23145, CVE-2026-23146, CVE-2026-23148, CVE-2026-23150, CVE-2026-23151, CVE-2026-23156, CVE-2026-23159, CVE-2026-23160, CVE-2026-23163, CVE-2026-23164, CVE-2026-23166, CVE-2026-23167, CVE-2026-23168, CVE-2026-23169, CVE-2026-23170, CVE-2026-23172, CVE-2026-23173, CVE-2026-23176, CVE-2026-23178, CVE-2026-23179, CVE-2026-23180, CVE-2026-23182, CVE-2026-23187, CVE-2026-23190, CVE-2026-23191, CVE-2026-23193, CVE-2026-23198, CVE-2026-23200, CVE-2026-23202, CVE-2026-23204, CVE-2026-23205, CVE-2026-23206, CVE-2026-23212, CVE-2026-23213, CVE-2026-23214, CVE-2026-23215, CVE-2026-23216, CVE-2026-23220, CVE-2026-23221, CVE-2026-23222, CVE-2026-23228, CVE-2026-23229, CVE-2026-23230, CVE-2026-23233, CVE-2026-23234, CVE-2026-23235, CVE-2026-23236, CVE-2026-23237, CVE-2026-23238, CVE-2026-23241, CVE-2026-23242, CVE-2026-23243, CVE-2026-23249, CVE-2026-23254, CVE-2026-23256, CVE-2026-23257, CVE-2026-23258, CVE-2026-23260, CVE-2026-23261, CVE-2026-23262, CVE-2026-23264, CVE-2026-23266, CVE-2026-23267, CVE-2026-23272, CVE-2026-23274, CVE-2026-23278, CVE-2026-23351, CVE-2026-23392, CVE-2026-23394, CVE-2026-23428, CVE-2026-23450, CVE-2026-23455, CVE-2026-31402, CVE-2026-31411, CVE-2026-31418, CVE-2026-31419, CVE-2026-31436, CVE-2026-31448, CVE-2026-31478, CVE-2026-31504, CVE-2026-31533, CVE-2026-31607, CVE-2026-31637, CVE-2026-31649, CVE-2026-31657, CVE-2026-31659, CVE-2026-31668, CVE-2026-31669, CVE-2026-31676, CVE-2026-31682, CVE-2026-31685, CVE-2026-31687, CVE-2026-31693, CVE-2026-43011, CVE-2026-43033, CVE-2026-43037, CVE-2026-43038, CVE-2026-43071, CVE-2026-43077, CVE-2026-43078, CVE-2026-43114, CVE-2026-43117, CVE-2026-43123, CVE-2026-43124, CVE-2026-43128, CVE-2026-43130, CVE-2026-43132, CVE-2026-43133, CVE-2026-43134, CVE-2026-43135, CVE-2026-43136, CVE-2026-43137, CVE-2026-43139, CVE-2026-43140, CVE-2026-43141, CVE-2026-43143, CVE-2026-43145, CVE-2026-43147, CVE-2026-43148, CVE-2026-43149, CVE-2026-43150, CVE-2026-43152, CVE-2026-43153, CVE-2026-43156, CVE-2026-43157, CVE-2026-43158, CVE-2026-43159, CVE-2026-43163, CVE-2026-43167, CVE-2026-43168, CVE-2026-43169, CVE-2026-43170, CVE-2026-43171, CVE-2026-43173, CVE-2026-43175, CVE-2026-43180, CVE-2026-43182, CVE-2026-43183, CVE-2026-43184, CVE-2026-43186, CVE-2026-43187, CVE-2026-43189, CVE-2026-43190, CVE-2026-43194, CVE-2026-43196, CVE-2026-43199, CVE-2026-43200, CVE-2026-43201, CVE-2026-43202, CVE-2026-43203, CVE-2026-43205, CVE-2026-43206, CVE-2026-43207, CVE-2026-43209, CVE-2026-43211, CVE-2026-43212, CVE-2026-43214, CVE-2026-43215, CVE-2026-43218, CVE-2026-43221, CVE-2026-43222, CVE-2026-43223, CVE-2026-43225, CVE-2026-43226, CVE-2026-43227, CVE-2026-43230, CVE-2026-43231, CVE-2026-43232, CVE-2026-43233, CVE-2026-43236, CVE-2026-43238, CVE-2026-43239, CVE-2026-43241, CVE-2026-43242, CVE-2026-43244, CVE-2026-43246, CVE-2026-43248, CVE-2026-43249, CVE-2026-43250, CVE-2026-43251, CVE-2026-43253, CVE-2026-43255, CVE-2026-43256, CVE-2026-43257, CVE-2026-43258, CVE-2026-43261, CVE-2026-43262, CVE-2026-43264, CVE-2026-43266, CVE-2026-43268, CVE-2026-43269, CVE-2026-43270, CVE-2026-43271, CVE-2026-43273, CVE-2026-43275, CVE-2026-43277, CVE-2026-43278, CVE-2026-43279, CVE-2026-43283, CVE-2026-43287, CVE-2026-43288, CVE-2026-43289, CVE-2026-43291, CVE-2026-43295, CVE-2026-43296, CVE-2026-43297, CVE-2026-43300, CVE-2026-43302, CVE-2026-43304, CVE-2026-43312, CVE-2026-43313, CVE-2026-43314, CVE-2026-43315, CVE-2026-43316, CVE-2026-43317, CVE-2026-43318, CVE-2026-43319, CVE-2026-43320, CVE-2026-43341, CVE-2026-43378, CVE-2026-43383, CVE-2026-43384, CVE-2026-43406, CVE-2026-43407, CVE-2026-43414, CVE-2026-43493, CVE-2026-43494, CVE-2026-43501, CVE-2026-45847, CVE-2026-45848, CVE-2026-45849, CVE-2026-45851, CVE-2026-45852, CVE-2026-45856, CVE-2026-45857, CVE-2026-45859, CVE-2026-45860, CVE-2026-45861, CVE-2026-45862, CVE-2026-45864, CVE-2026-45865, CVE-2026-45866, CVE-2026-45867, CVE-2026-45868, CVE-2026-45869, CVE-2026-45870, CVE-2026-45871, CVE-2026-45872, CVE-2026-45873, CVE-2026-45875, CVE-2026-45877, CVE-2026-45878, CVE-2026-45879, CVE-2026-45880, CVE-2026-45881, CVE-2026-45882, CVE-2026-45883, CVE-2026-45884, CVE-2026-45885, CVE-2026-45886, CVE-2026-45890, CVE-2026-45891, CVE-2026-45893, CVE-2026-45895, CVE-2026-45902, CVE-2026-45904, CVE-2026-45905, CVE-2026-45910, CVE-2026-45912, CVE-2026-45913, CVE-2026-45914, CVE-2026-45915, CVE-2026-45916, CVE-2026-45917, CVE-2026-45919, CVE-2026-45921, CVE-2026-45923, CVE-2026-45928, CVE-2026-45935, CVE-2026-45936, CVE-2026-45938, CVE-2026-45941, CVE-2026-45946, CVE-2026-45947, CVE-2026-45948, CVE-2026-45954, CVE-2026-45957, CVE-2026-45960, CVE-2026-45962, CVE-2026-45964, CVE-2026-45965, CVE-2026-45968, CVE-2026-45969, CVE-2026-45970, CVE-2026-45973, CVE-2026-45974, CVE-2026-45976, CVE-2026-45978, CVE-2026-45981, CVE-2026-45982, CVE-2026-45983, CVE-2026-45984, CVE-2026-45988, CVE-2026-46028, CVE-2026-46043, CVE-2026-46115, CVE-2026-46119, CVE-2026-46135, CVE-2026-46185, CVE-2026-46195, CVE-2026-46243, CVE-2026-46244, CVE-2026-46246, CVE-2026-46247, CVE-2026-46249, CVE-2026-46250, CVE-2026-46251, CVE-2026-46253, CVE-2026-46254, CVE-2026-46255, CVE-2026-46259, CVE-2026-46261, CVE-2026-46265, CVE-2026-46266, CVE-2026-46267, CVE-2026-46270, CVE-2026-46289, CVE-2026-46323, CVE-2026-46328)
9 shared
Jul 6, 2026