GHSA-5H94-R5C3-XC8M
Vulnerability from github – Published: 2026-08-10 15:33 – Updated: 2026-08-10 15:33
VLAI
Details
In the Linux kernel, the following vulnerability has been resolved:
LoongArch: BPF: Fix memory leak in bpf_jit_free()
When bpf_int_jit_compile() is called for subprograms, it returns early during the first pass (!prog->is_func || extra_pass is false), keeping ctx->offset alive for the subsequent extra pass.
If JIT compilation fails for a later subprogram, the BPF core aborts and calls bpf_jit_free() to clean up the first subprogram. However, bpf_jit_free() fails to free jit_data->ctx.offset, which causes a memory leak of the JIT context offsets array.
So fix this by adding the missing kvfree(jit_data->ctx.offset) in bpf_jit_free().
{
"affected": [],
"aliases": [
"CVE-2026-68285"
],
"database_specific": {
"cwe_ids": [],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-10T13:20:17Z",
"severity": null
},
"details": "In the Linux kernel, the following vulnerability has been resolved:\n\nLoongArch: BPF: Fix memory leak in bpf_jit_free()\n\nWhen bpf_int_jit_compile() is called for subprograms, it returns early\nduring the first pass (!prog-\u003eis_func || extra_pass is false), keeping\nctx-\u003eoffset alive for the subsequent extra pass.\n\nIf JIT compilation fails for a later subprogram, the BPF core aborts and\ncalls bpf_jit_free() to clean up the first subprogram. However,\nbpf_jit_free() fails to free jit_data-\u003ectx.offset, which causes a memory\nleak of the JIT context offsets array.\n\nSo fix this by adding the missing kvfree(jit_data-\u003ectx.offset) in\nbpf_jit_free().",
"id": "GHSA-5h94-r5c3-xc8m",
"modified": "2026-08-10T15:33:44Z",
"published": "2026-08-10T15:33:44Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-68285"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/47e20d4b3da97ef3881d1e55e43545c22424f3fc"
},
{
"type": "WEB",
"url": "https://git.kernel.org/stable/c/f1557e0a64736b63aed24e285108a7bc3b7de294"
}
],
"schema_version": "1.4.0",
"severity": []
}
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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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