{"dataType": "CVE_RECORD", "dataVersion": "5.2", "cveMetadata": {"cveId": "CVE-2026-5497", "assignerOrgId": "c09c270a-b464-47c1-9133-acb35b22c19a", "state": "PUBLISHED", "assignerShortName": "@huntr_ai", "dateReserved": "2026-04-03T14:41:01.113Z", "datePublished": "2026-06-11T08:31:18.953Z", "dateUpdated": "2026-06-11T14:01:07.379Z"}, "containers": {"cna": {"title": "Unbounded Frame Count in video/jpeg Base64 Data URL Processing Leads to OOM DoS in vllm-project/vllm", "providerMetadata": {"orgId": "c09c270a-b464-47c1-9133-acb35b22c19a", "shortName": "@huntr_ai", "dateUpdated": "2026-06-11T08:31:18.953Z"}, "descriptions": [{"lang": "en", "value": "vLLM versions 0.8.0 and later are vulnerable to an Out-of-Memory (OOM) Denial of Service (DoS) attack due to unbounded frame count processing in the `VideoMediaIO.load_base64()` method. When processing `video/jpeg` data URLs, the method splits the base64 data string on commas to extract individual JPEG frames without enforcing a frame count limit. An attacker can exploit this by crafting a single API request containing thousands of comma-separated base64-encoded JPEG frames in a data URL, causing the server to decode all frames into memory and crash due to excessive memory consumption. This vulnerability is reachable via the OpenAI-compatible chat completions API and does not require authentication."}], "affected": [{"vendor": "vllm-project", "product": "vllm-project/vllm", "versions": [{"version": "unspecified", "lessThan": "0.19.0", "status": "affected", "versionType": "custom"}]}], "references": [{"url": "https://huntr.com/bounties/7bd92629-b396-4449-8f88-6c0092530eb4"}, {"url": "https://github.com/vllm-project/vllm/commit/58ee61422169ce17e08248f8efa1e9df434fe395"}], "metrics": [{"cvssV3_0": {"version": "3.0", "attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "baseScore": 7.5, "baseSeverity": "HIGH"}}], "problemTypes": [{"descriptions": [{"type": "CWE", "lang": "en", "description": "CWE-400 Uncontrolled Resource Consumption", "cweId": "CWE-400"}]}], "source": {"advisory": "7bd92629-b396-4449-8f88-6c0092530eb4", "discovery": "EXTERNAL"}}, "adp": [{"references": [{"url": "https://huntr.com/bounties/7bd92629-b396-4449-8f88-6c0092530eb4", "tags": ["exploit"]}], "metrics": [{"other": {"type": "ssvc", "content": {"timestamp": "2026-06-11T14:01:03.081885Z", "id": "CVE-2026-5497", "options": [{"Exploitation": "poc"}, {"Automatable": "yes"}, {"Technical Impact": "partial"}], "role": "CISA Coordinator", "version": "2.0.3"}}}], "title": "CISA ADP Vulnrichment", "providerMetadata": {"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "shortName": "CISA-ADP", "dateUpdated": "2026-06-11T14:01:07.379Z"}}]}}

{"dataType": "CVE_RECORD", "containers": {"adp": [{"title": "CISA ADP Vulnrichment", "metrics": [{"other": {"type": "ssvc", "content": {"id": "CVE-2026-5497", "role": "CISA Coordinator", "options": [{"Exploitation": "poc"}, {"Automatable": "yes"}, {"Technical Impact": "partial"}], "version": "2.0.3", "timestamp": "2026-06-11T14:01:03.081885Z"}}}], "references": [{"url": "https://huntr.com/bounties/7bd92629-b396-4449-8f88-6c0092530eb4", "tags": ["exploit"]}], "providerMetadata": {"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "shortName": "CISA-ADP", "dateUpdated": "2026-06-11T14:00:30.608Z"}}], "cna": {"title": "Unbounded Frame Count in video/jpeg Base64 Data URL Processing Leads to OOM DoS in vllm-project/vllm", "source": {"advisory": "7bd92629-b396-4449-8f88-6c0092530eb4", "discovery": "EXTERNAL"}, "metrics": [{"cvssV3_0": {"scope": "UNCHANGED", "version": "3.0", "baseScore": 7.5, "attackVector": "NETWORK", "baseSeverity": "HIGH", "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "integrityImpact": "NONE", "userInteraction": "NONE", "attackComplexity": "LOW", "availabilityImpact": "HIGH", "privilegesRequired": "NONE", "confidentialityImpact": "NONE"}}], "affected": [{"vendor": "vllm-project", "product": "vllm-project/vllm", "versions": [{"status": "affected", "version": "unspecified", "lessThan": "0.19.0", "versionType": "custom"}]}], "references": [{"url": "https://huntr.com/bounties/7bd92629-b396-4449-8f88-6c0092530eb4"}, {"url": "https://github.com/vllm-project/vllm/commit/58ee61422169ce17e08248f8efa1e9df434fe395"}], "descriptions": [{"lang": "en", "value": "vLLM versions 0.8.0 and later are vulnerable to an Out-of-Memory (OOM) Denial of Service (DoS) attack due to unbounded frame count processing in the `VideoMediaIO.load_base64()` method. When processing `video/jpeg` data URLs, the method splits the base64 data string on commas to extract individual JPEG frames without enforcing a frame count limit. An attacker can exploit this by crafting a single API request containing thousands of comma-separated base64-encoded JPEG frames in a data URL, causing the server to decode all frames into memory and crash due to excessive memory consumption. This vulnerability is reachable via the OpenAI-compatible chat completions API and does not require authentication."}], "problemTypes": [{"descriptions": [{"lang": "en", "type": "CWE", "cweId": "CWE-400", "description": "CWE-400 Uncontrolled Resource Consumption"}]}], "providerMetadata": {"orgId": "c09c270a-b464-47c1-9133-acb35b22c19a", "shortName": "@huntr_ai", "dateUpdated": "2026-06-11T08:31:18.953Z"}}}, "cveMetadata": {"cveId": "CVE-2026-5497", "state": "PUBLISHED", "dateUpdated": "2026-06-11T14:01:07.379Z", "dateReserved": "2026-04-03T14:41:01.113Z", "assignerOrgId": "c09c270a-b464-47c1-9133-acb35b22c19a", "datePublished": "2026-06-11T08:31:18.953Z", "assignerShortName": "@huntr_ai"}, "dataVersion": "5.2"}

{"cveTags": [], "descriptions": [{"lang": "en", "value": "vLLM versions 0.8.0 and later are vulnerable to an Out-of-Memory (OOM) Denial of Service (DoS) attack due to unbounded frame count processing in the `VideoMediaIO.load_base64()` method. When processing `video/jpeg` data URLs, the method splits the base64 data string on commas to extract individual JPEG frames without enforcing a frame count limit. An attacker can exploit this by crafting a single API request containing thousands of comma-separated base64-encoded JPEG frames in a data URL, causing the server to decode all frames into memory and crash due to excessive memory consumption. This vulnerability is reachable via the OpenAI-compatible chat completions API and does not require authentication."}], "id": "CVE-2026-5497", "lastModified": "2026-06-11T15:37:21.933", "metrics": {"cvssMetricV30": [{"cvssData": {"attackComplexity": "LOW", "attackVector": "NETWORK", "availabilityImpact": "HIGH", "baseScore": 7.5, "baseSeverity": "HIGH", "confidentialityImpact": "NONE", "integrityImpact": "NONE", "privilegesRequired": "NONE", "scope": "UNCHANGED", "userInteraction": "NONE", "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H", "version": "3.0"}, "exploitabilityScore": 3.9, "impactScore": 3.6, "source": "security@huntr.dev", "type": "Secondary"}]}, "published": "2026-06-11T10:16:21.903", "references": [{"source": "security@huntr.dev", "url": "https://github.com/vllm-project/vllm/commit/58ee61422169ce17e08248f8efa1e9df434fe395"}, {"source": "security@huntr.dev", "url": "https://huntr.com/bounties/7bd92629-b396-4449-8f88-6c0092530eb4"}, {"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0", "url": "https://huntr.com/bounties/7bd92629-b396-4449-8f88-6c0092530eb4"}], "sourceIdentifier": "security@huntr.dev", "vulnStatus": "Awaiting Analysis", "weaknesses": [{"description": [{"lang": "en", "value": "CWE-400"}], "source": "security@huntr.dev", "type": "Secondary"}]}

{}

{"created": "2026-06-11T12:00:14.035758+00:00", "updated": "2026-06-11T12:00:14.035772+00:00", "vendors": []}