133 lines
5.4 KiB
JSON
133 lines
5.4 KiB
JSON
{
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"dataType": "CVE_RECORD",
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"dataVersion": "5.2",
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"cveMetadata": {
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"cveId": "CVE-2026-33625",
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"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
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"state": "PUBLISHED",
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"assignerShortName": "GitHub_M",
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"dateReserved": "2026-03-23T14:24:11.617Z",
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"datePublished": "2026-09-18T17:13:37.133Z",
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"dateUpdated": "2026-09-22T15:08:07.065Z"
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},
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"containers": {
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"cna": {
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"title": "LMDeploy vulnerable to arbitrary code execution via eval() of untrusted quant_dtype in model config loading",
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"problemTypes": [
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{
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"descriptions": [
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{
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"cweId": "CWE-400",
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"lang": "en",
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"description": "CWE-400: Uncontrolled Resource Consumption",
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"type": "CWE"
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}
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]
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}
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],
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"metrics": [
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{
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"cvssV3_1": {
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"attackComplexity": "LOW",
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"attackVector": "NETWORK",
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"availabilityImpact": "HIGH",
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"baseScore": 8.8,
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"baseSeverity": "HIGH",
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"confidentialityImpact": "HIGH",
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"integrityImpact": "HIGH",
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"privilegesRequired": "NONE",
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"scope": "UNCHANGED",
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"userInteraction": "REQUIRED",
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"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
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"version": "3.1"
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}
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}
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],
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"references": [
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{
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"name": "https://github.com/InternLM/lmdeploy/security/advisories/GHSA-3hmm-rh5q-gwwr",
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"tags": [
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"x_refsource_CONFIRM"
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],
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"url": "https://github.com/InternLM/lmdeploy/security/advisories/GHSA-3hmm-rh5q-gwwr"
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},
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{
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"name": "https://github.com/InternLM/lmdeploy/releases/tag/v0.12.3",
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"tags": [
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"x_refsource_MISC"
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],
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"url": "https://github.com/InternLM/lmdeploy/releases/tag/v0.12.3"
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}
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],
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"affected": [
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{
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"vendor": "InternLM",
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"product": "lmdeploy",
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"versions": [
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{
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"version": ">= 0.12.1, < 0.12.3",
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"status": "affected"
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}
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]
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}
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],
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"providerMetadata": {
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"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
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"shortName": "GitHub_M",
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"dateUpdated": "2026-09-18T17:13:37.133Z"
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},
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"descriptions": [
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{
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"lang": "en",
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"value": "LMDeploy is a toolkit for compressing, deploying, and serving large language models. Versions 012.1 through 0.12.2 contain a code injection vulnerability in `lmdeploy/pytorch/config.py` line 620 that allows an attacker to execute arbitrary Python code by publishing a malicious HuggingFace model with a crafted `quantization_config.quant_dtype` value. When a user loads the model with lmdeploy, the `quant_dtype` is passed to `eval(f'torch.{quant_dtype}')` without any validation. Version 0.12.3 contains a patch."
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}
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],
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"source": {
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"advisory": "GHSA-3hmm-rh5q-gwwr",
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"discovery": "UNKNOWN"
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}
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},
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"adp": [
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{
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"references": [
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{
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"url": "https://github.com/InternLM/lmdeploy/security/advisories/GHSA-3hmm-rh5q-gwwr",
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"tags": [
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"exploit"
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]
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}
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],
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"metrics": [
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{
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"other": {
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"type": "ssvc",
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"content": {
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"timestamp": "2026-09-22T15:07:33.233899Z",
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"id": "CVE-2026-33625",
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"options": [
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{
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"Exploitation": "poc"
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},
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{
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"Automatable": "no"
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},
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{
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"Technical Impact": "total"
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}
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],
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"role": "CISA Coordinator",
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"version": "2.0.3"
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}
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}
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}
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],
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"title": "CISA ADP Vulnrichment",
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"providerMetadata": {
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"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
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"shortName": "CISA-ADP",
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"dateUpdated": "2026-09-22T15:08:07.065Z"
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}
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}
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]
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}
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} |