CVE-2026-22994
In the Linux kernel, the following vulnerability has been resolved:
bpf: Fix reference count leak in bpf_prog_test_run_xdp()
syzbot is reporting
unregister_netdevice: waiting for sit0 to become free. Usage count = 2
problem. A debug printk() patch found that a refcount is obtained at xdp_convert_md_to_buff() from bpf_prog_test_run_xdp().
According to commit ec94670fcb3b ("bpf: Support specifying ingress via xdp_md context in BPF_PROG_TEST_RUN"), the refcount obtained by xdp_convert_md_to_buff() will be released by xdp_convert_buff_to_md().
Therefore, we can consider that the error handling path introduced by commit 1c1949982524 ("bpf: introduce frags support to bpf_prog_test_run_xdp()") forgot to call xdp_convert_buff_to_md().
| Software | From | Fixed in |
|---|---|---|
| linux / linux_kernel | 5.18 | 6.1.161 |
| linux / linux_kernel | 6.2 | 6.6.121 |
| linux / linux_kernel | 6.7 | 6.12.66 |
| linux / linux_kernel | 6.13 | 6.18.6 |
| linux / linux_kernel | 6.19-rc1 | 6.19-rc1.x |
| linux / linux_kernel | 6.19-rc2 | 6.19-rc2.x |
| linux / linux_kernel | 6.19-rc3 | 6.19-rc3.x |
| linux / linux_kernel | 6.19-rc4 | 6.19-rc4.x |
| linux / linux_kernel | 6.19-rc5 | 6.19-rc5.x |
- https://git.kernel.org/stable/c/368569bc546d3368ee9980ba79fc42fdff9a3365
- https://git.kernel.org/stable/c/737be05a765761d7d7c9f7fe92274bd8e6f6951e
- https://git.kernel.org/stable/c/98676ee71fd4eafeb8be63c7f3f1905d40e03101
- https://git.kernel.org/stable/c/ec69daabe45256f98ac86c651b8ad1b2574489a7
- https://git.kernel.org/stable/c/fb9ef40cccdbacce36029b305d0ef1e12e4fea38
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A security vulnerability is a weakness in software, hardware, or configuration that can be exploited to compromise confidentiality, integrity, or availability. Many vulnerabilities are tracked as CVEs (Common Vulnerabilities and Exposures), which provide a standardized identifier so teams can coordinate patching, mitigation, and risk assessment across tools and vendors.
CVSS (Common Vulnerability Scoring System) estimates technical severity, but it doesn't automatically equal business risk. Prioritize using context like internet exposure, affected asset criticality, known exploitation (proof-of-concept or in-the-wild), and whether compensating controls exist. A "Medium" CVSS on an exposed, production system can be more urgent than a "Critical" on an isolated, non-production host.
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Use a simple, repeatable triage model: focus first on externally exposed assets, high-value systems (identity, VPN, email, production), vulnerabilities with known exploits, and issues that enable remote code execution or privilege escalation. Then enforce patch SLAs and track progress using consistent metrics so remediation is steady, not reactive.
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