Unsafe Deserialization in Langflow (CVE-2026-93447)
Summary
Vulnerability in Langflow (CVE-2026-93447). Successful exploitation can lead to full system takeover.
Original description
The description as published by the source.
IBM Langflow OSS 1.0.0 through 1.12.2 could allow an attacker with access to the server secret and Redis write access to submit a malicious serialized cache value. When the value was retrieved, deserialization could have executed attacker-controlled code with the privileges of the service process.
Source: NIST National Vulnerability Database 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-2026-93447 has been found in Langflow.
Successful exploitation can lead to full system takeover. CVSS score: 7.5/10.
What to do: apply the vendor's official patched release.
If unsure, ask your IT team or search "Langflow CVE-2026-93447" on the vendor's site.
CVE-2026-93447 (Langflow) — CWE-502 / CVSS v3 7.5
Attack vector: remote (network-reachable) / no user interaction
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.
Unsafe deserialization (CWE-502) exists in Langflow.
Check the vendor advisory for the affected versions of Langflow.
Severity: High (CVSS 7.5/10). Successful exploitation can lead to full system takeover.
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. Run grep -r 'Langflow' . against your dependency files (package-lock.json, requirements.txt, go.sum) to find affected services.
Response actions
Concrete steps and command examples for SOC/SRE teams to execute in order
-
1Identify exposure identify
grep -r 'Langflow' . | grep -v node_modulesリポジトリと本番環境の依存ファイル (package-lock.json / requirements.txt / go.sum / Gemfile.lock 等) で
Langflowを grep し、稼働しているサービス・バージョンを把握する。 -
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
- patch psirt@us.ibm.com
- web nvd.nist.gov
- web github.com