Security context
What an agent needs to avoid regressing past fixes and find the next vuln in this repo.
vllm-project/vllm-ascend
main @ 4fbf24f
19
Fixes
0
CVEs
HIGH
Peak severity
47.1%
Coverage
Highlights
Denial of Service: 17 prior fixes. Scrutinize any change in this area.
examples/disaggregated_prefill_v1/load_balance_proxy_server_example.py: most-fixed (3 issues). Treat as high-risk during review.
7 high-severity fixes in this history; regressions here are high-impact.
Recurring patterns
The bug types that recur here, drawn from past fixes, not open vulnerabilities.
Memory Corruption: Workspace size and offset miscalculations on ASCEND 950 platforms under long-context sequences allow out-of-bounds memory accesses in the attention indexer. Developers should strictly validate workspace allocation bounds relative to dynamic input sequences.
Denial of Service: Missing loop boundary checks in Triton's speculative decoding rejection sampler kernel create an exploitable buffer overflow (out-of-bounds write). Ensure all custom Triton kernels enforce strict spatial safety limits on tensor iterations.
Auth Bypass: Inadequate actor permission validation in comment-triggered GitHub Action workflows enabled potential unauthorized execution of end-to-end tests on self-hosted runners, exposing infrastructure to malicious code execution.