vLLM through 0.29.0 Memory Exhaustion via Rejected Requests
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
| Vendor | Product | Default status | Versions | ||||||
|---|---|---|---|---|---|---|---|---|---|
| vllm-project | vllm | unaffected |
|
No data.
| Vendor | Product | Versions | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Vllm | Vllm |
|
No CVSS v3.0
No CVSS v2
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.755% probability within 30 days)
| Type | Values Removed | Values Added |
|---|---|---|
| Weaknesses | CWE-770 | |
| References |
| |
| Metrics |
threat_severity
|
threat_severity
|
| Type | Values Removed | Values Added |
|---|---|---|
| Metrics |
ssvc
|
| Type | Values Removed | Values Added |
|---|---|---|
| Description | vLLM through 0.29.0 fails to properly clean up decode-side metadata for rejected inference requests in prefill/decode disaggregated deployments. Remote attackers can submit requests with max_tokens=0 to exhaust decode-worker memory without bound until the worker restarts. | |
| Title | vLLM through 0.29.0 Memory Exhaustion via Rejected Requests | |
| First Time appeared |
Vllm
Vllm vllm |
|
| Weaknesses | CWE-401 | |
| CPEs | cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:* | |
| Vendors & Products |
Vllm
Vllm vllm |
|
| References |
|
|
| Metrics |
cvssV3_1
|