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CVE-2026-119050VulnerabilityPublished

Agno through 3.1.11 contains an unsafe reflection vulnerability in PandasTools that allows attackers to invoke

Source GCVE Database

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Authoritative record:CVE-2026-119050· Critical 9.2

Not known to be exploited · CVSS 9.2 Critical.

Data as of 29 Oct 2026, 15:55 UTC

CVSS 4.0 base score
9.2Critical
How severe the flaw is on the 0–10 CVSS scale.

Thin evidence

One scorer or none
CVSS scores by source
CNA (VulnCheck)CVSS 4.09.2
CNA (VulnCheck)CVSS 3.18.1
CVSS:4.0/AV:N/AC:H/AT:P/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 29 Oct 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 29 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
agno-agiagnoAffected
  • <=3.1.11
Fixed in–
PyPIagnopkg:pypi/agnoOther threatsAffected
  • <=3.1.11
Fixed in–

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

AI-suggested

Until a fix is available, avoid exposing vulnerable versions to untrusted inputs that could control function names passed to getattr() in PandasTools.

Description

Agno versions up to 3.1.11 have an unsafe reflection vulnerability in the PandasTools component. This flaw allows attackers to invoke arbitrary pandas functions by supplying attacker-controlled function names to Python's getattr(). Exploitation can lead to arbitrary code execution by making the agent call pandas.read_pickle on attacker-controlled file paths or reading local files via other pandas readers.

References

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