vLLM through 0.29.0 Cross-Request Logits Corruption via bad_words
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
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| vllm-project | vllm | unaffected |
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No data.
| Vendor | Product | Versions | ||||||||
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| Vllm | Vllm |
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| Vllm-project | Vllm |
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No CVSS v3.0
No CVSS v2
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.202% probability within 30 days)
| Type | Values Removed | Values Added |
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| Weaknesses | CWE-787 | |
| References |
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| Metrics |
threat_severity
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threat_severity
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| Type | Values Removed | Values Added |
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| Metrics |
ssvc
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| First Time appeared |
Vllm-project
Vllm-project vllm |
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| Vendors & Products |
Vllm-project
Vllm-project vllm |
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| Description | vLLM through 0.29.0 fails to properly validate bad_words token indices against the model's generation output width in SamplingParams.update_from_tokenizer(). Attackers can supply out-of-bounds token indices that corrupt logits memory of concurrent requests, causing different in-flight HTTP requests to return incorrect tokens. | |
| Title | vLLM through 0.29.0 Cross-Request Logits Corruption via bad_words | |
| First Time appeared |
Vllm
Vllm vllm |
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| Weaknesses | CWE-129 | |
| CPEs | cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:* | |
| Vendors & Products |
Vllm
Vllm vllm |
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| References |
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| Metrics |
cvssV3_1
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