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VulnerabilityPublished Updated

CVE-2026-101861: langflow · Eval Injection

Affects langflowSource CVE Database V5

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Not known to be exploited · CVSS 2.1 Low : upgrade to 1.12.0 when convenient.

Data as of 12 Nov 2026, 23:24 UTC

CVSS 4.0 base score
2.1Low
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.1% chance of exploitation in 30 days – higher than 9% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 1.12.0
CVSS:4.0/AV:N/AC:H/AT:P/PR:H/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 28 Sep 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 13 Nov 2026.

What to do

Upgrade langflow to 1.12.0.

Affected software

ProductAffectedFixed in
langflow-ailangflowAffected
  • >=1.0.16 <1.12.0
  • >=0.0.94 <1.12.0
Fixed in
  • 1.12.0
GitHublangflowpkg:github/langflowOther threatsAffected
  • >=1.0.16 <1.12.0
  • >=0.0.94 <1.12.0
Fixed in
  • 1.12.0

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

If you cannot patch yet, restrict access to authenticated users with high privileges and avoid saving or processing untrusted component input options that could trigger the eval() sink.

Description

CVE-2026-101861 is a low severity vulnerability in langflow versions 0.0.94 through before 1.12.0 and 1.0.16 through before 1.12.0. It involves unsafe use of Python's eval() function in schema.py, allowing authenticated users to execute arbitrary code by injecting malicious Python objects with crafted __repr__ methods into component input options. The vulnerability is triggered when components are converted into LangChain tools, including during API-based custom component saves.

References

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