Path Traversal in SeldonIO MLServer (CVE-2026-109156)
Summary
Path traversal in SeldonIO MLServer (CVE-2026-109156). Risk of unauthorized operations or information disclosure.
Original description
The description as published by the source.
A vulnerability has been found in SeldonIO MLServer up to 1.6.1. Affected is the function _extract_env of the file mlserver/env.py of the component environment_tarball Handler. Such manipulation leads to path traversal. The attack may be performed from remote. The vendor was contacted early about this disclosure but did not respond in any way.
Source: GitHub Security Advisories (Global) NVD GitHub Advisory
Auto-generated summary
Assembled by SecPulse from the source data (CVSS, CWE, affected versions) using templates — no AI involved. Check the original description and references below for exact details.
A vulnerability tracked as CVE-2026-109156 has been found in SeldonIO MLServer.
Risk of unauthorized operations or information disclosure. CVSS score: 6.3/10.
What to do: apply the vendor's official patched release.
If unsure, ask your IT team or search "SeldonIO MLServer CVE-2026-109156" on the vendor's site.
CVE-2026-109156 (SeldonIO MLServer) — CWE-22 / CVSS v3 6.3
Attack vector: remote (network-reachable) / unauthenticated
Plan: 1) Audit SBOM/dependencies, 2) Stage→prod upgrade, 3) Add WAF/proxy monitoring on affected endpoints, 4) Hunt IOCs in logs.
Refs: see the GHSA / vendor advisory / patched release linked on this page.
Path traversal (CWE-22) exists in SeldonIO MLServer.
Check the vendor advisory for the affected versions of SeldonIO MLServer.
Severity: Medium (CVSS 6.3/10). Risk of unauthorized operations or information disclosure.
Update to the patched release per vendor advisory.
Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.
Search webserver/proxy logs for unusual request patterns matching this CVE's known IOCs. Audit SBOM/dependencies to find affected services.
Response actions
Concrete steps and command examples for SOC/SRE teams to execute in order
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1Identify exposure identify
Audit SBOM/dependencies for affected components.資産台帳・SBOM・依存マニフェストで SeldonIO MLServer を使っているサービスとバージョンを洗い出す。
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2Post-deployment verification verify
Confirm patched version is live in productionパッチ適用後、ステージングで PoC または同等の悪用パターンを再現して脆弱性が閉じたことを確認。本番ではアクセスログ・WAF でアラート再発が無いか継続監視。
References
- REDHAT Red Hat
- web nvd.nist.gov
- web cna@vuldb.com
- web github.com
- web cna@vuldb.com
- web cna@vuldb.com
- web cna@vuldb.com
- web cna@vuldb.com
- web github.com
- web cna@vuldb.com