Top 10 Critical Linux Kernel Vulnerabilities

Dirty Pipe (CVE-2022-0847)

Real World Case Study

Attackers exploited Dirty Pipe to effortlessly overwrite the `/etc/passwd` file and inject a new root user, or to modify SUID binaries like `su` in zero-time. The exploit worked reliably across almost all major Linux distributions, becoming a primary weapon in ransomware lateral movement.

Precogs AI identifies outdated kernel environments via continuous agent telemetry and generates immutable update policies, enforcing kernel patching without downtime via live patching mechanisms.

Notable CVEs in this Class

Dirty COW (CVE-2016-5195)

Real World Case Study

Although patched years ago, Dirty COW returned in variants (like Dirty Pagetable) affecting millions of Android devices and unpatched IoT embedded systems, allowing attackers to permanently root devices by modifying the core operating system libraries in memory.

Precogs AI's static binary scanner detects the presence of unmitigated kernel library variants hidden within massive nested supply-chain container images.

Notable CVEs in this Class

eBPF Vulnerabilities (Extended Berkeley Packet Filter)

Real World Case Study

As eBPF gained popularity for observability, attackers found bugs in its verifier. The 'eBPF verifier bypass' allowed unprivileged users to load JIT compiled payloads that altered the execution of container networking packets (Cilium), allowing container-to-container lateral movement bypass.

Precogs AI audits Linux capabilities dropped inside Kubernetes clusters, ensuring strict boundaries (`CAP_BPF` restricted) are applied to all non-essential workloads to mitigate verifier exploits.

Notable CVEs in this Class

io_uring Use-After-Free Vulnerabilities

Real World Case Study

Attackers leveraged a use-after-free bug in `io_uring` mapped buffers to achieve an elegant container escape. By manipulating concurrent I/O ring submissions, they tricked the kernel into freeing memory which was subsequently overwritten with an attacker-controlled function pointer payload.

Precogs AI integrates with seccomp to dynamically restrict `io_uring` syscalls inside low-trust container runtimes natively while retaining high performance for designated datastore applications.

Notable CVEs in this Class

Netfilter/iptables Heap Out-of-Bounds Write

Real World Case Study

The CVE-2024-1086 vulnerability in the Netfilter subsystem allowed users with `CAP_NET_ADMIN` (typically available inside improperly isolated unprivileged containers) to achieve local privilege escalation to root. The exploit chained an integer underflow into a full kernel heap spray.

Precogs AI automatically scans workload network configurations and disables user namespace privileges natively through pod security admission controls, severely limiting the attack surface.

Notable CVEs in this Class

OverlayFS Privilege Escalation

Real World Case Study

The 'Ubuntu OverlayFS' vulnerability allowed low privileged users to mount a custom overlay and trick the kernel into allowing them to copy root-owned files (like `shadow` password hashes) into an accessible lower directory. This bypassed all container sandboxing.

Precogs AI ensures container orchestrators utilize proper rootless container mapping (User Namespaces) forcing the OverlayFS logic to execute under non-root host UID contexts.

Notable CVEs in this Class

Sudo Heap-Based Buffer Overflow (Baron Samedit)

Real World Case Study

Known as 'Baron Samedit' (CVE-2021-3156), this exploit relied on an escaping bug in parsing command line arguments. Despite being a decade old, it was actively used by Initial Access Brokers to instantly root compromised cloud instances via SSH.

Precogs AI proactively monitors utility versions across the entire fleet and implements strict AppArmor/SELinux profiles that limit the binary execution paths of SUID binaries.

KSMBD (In-Kernel SMB Server) Remote Code Execution

Real World Case Study

Unlike samba running in user-space, ksmbd runs directly in kernel space. An attacker simply connected to the SMB port and sent a crafted out-of-bounds packet, instantly owning the server with kernel-level code execution without any authentication.

Precogs AI automatically assesses configurations to disable risky unhardened in-kernel modules (like ksmbd) and revert to safer user-space daemon alternatives via continuous compliance scanning.

Notable CVEs in this Class

Glibc Use-After-Free (Looney Tunables)

Real World Case Study

The 'Looney Tunables' vulnerability affected default installations of Fedora, Ubuntu, and Debian. Attackers manipulated the environment variables prior to running SUID binaries. The dynamic loader crashed, writing the exploit payload into the SUID memory space, granting root access.

Precogs AI identifies vulnerable glibc versions inside container base images during the CI/CD pipeline and auto-updates the Dockerfile `FROM` layers.

Notable CVEs in this Class

WiFi Module (mac80211) Stack Overflows

Real World Case Study

Security researchers identified multiple stack overflows in how Linux processed malicious management frames. Attackers stationed outside corporate offices sent broadcast frames that crashed and rooted Linux laptops and IoT devices identically, bypassing all authentication.

Precogs AI ensures physical enterprise assets deploy standardized kernel module blacklists, disabling experimental or unused wireless protocols at the lowest level.