CVE-2026-4229 json
vanna-ai vanna bigquery_vector.py remove_training_data sql injection
published 7mo ago modified 3mo ago also GHSA-6mj8-jmp2-g8q7 , PYSEC-2026-3397 , EUVD-2026-12373
- cvss
- 7.3
- version 3.1, CNA
- cisa kev
- Not listed
- not in CISA's catalog
- epss
- 0.3%
- EPSS 0.3% chance of exploitation in 30 days, percentile 19%
- public exploits
- 0
- none known
Summary
A flaw has been found in vanna-ai vanna up to 2.0.2. This impacts the function remove_training_data of the file src/vanna/legacy/google/bigquery_vector.py. This manipulation of the argument ID causes sql injection. The attack can be initiated remotely. The exploit has been published and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
Is CVE-2026-4229 in your dependencies? Fencer shows which of your repositories are affected as soon as an advisory lands, and opens the fix as a pull request.
Check with FencerCISA SSVC
- Exploitation
- Proof of concept is public
- Automatable
- yes
- Technical impact
- partial
- Assessed
- 7mo ago
Exploit prediction
0.27% chance of exploitation in the next 30 days, higher than 19% of all scored CVEs (FIRST EPSS, 2026-11-09).
Exploits and checks
- gist.github.com https://gist.github.com/YLChen-007/b4f326eaecc29b192cf93dc5d6bc0623 referenced PoC, tagged "exploit" by a source, unverified
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| CNA | 4.0 | 6.9 | CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P |
| CNA | 3.1 | 7.3 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L/E:P/RL:X/RC:R |
| CNA | 3.0 | 7.3 | CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L/E:P/RL:X/RC:R |
| CNA | 2.0 | 7.5 | AV:N/AC:L/Au:N/C:P/I:P/A:P/E:POC/RL:ND/RC:UR |
| CNA | 4.0 | 5.5 | CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X |
| CNA | 3.1 | 7.3 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L |
| CNA | 2.0 | 7.5 | AV:N/AC:L/Au:N/C:P/I:P/A:P |
| OSV | 3.1 | 7.3 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L |
| GitHub | 3.1 | 7.3 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L |
Affected packages
| ecosystem | package | affected | fixed in |
|---|---|---|---|
| pypi | vanna | <=2.0.2 |
no fix listed |
Affected products
- vanna-ai vanna
Classification
References
-
gist.github.com
/YLChen-007/b4f326eaecc29b192cf93dc5d6bc0623
exploit, web
-
vuldb.com
/?id.351152
vdb-entry, technical-description, web
-
vuldb.com
/?ctiid.351152
signature, permissions-required, web
-
vuldb.com
/?submit.771214
third-party-advisory, web
-
nvd.nist.gov
/vuln/detail/CVE-2026-4229
advisory
-
github.com
/vanna-ai/vanna
package
-
pypi.org
/project/vanna
package
-
github.com
/advisories/GHSA-6mj8-jmp2-g8q7
advisory
Sources
- CVE List CVE-2026-4229
- GitHub Advisory GHSA-6mj8-jmp2-g8q7
- NVD CVE-2026-4229
- OSV PYSEC-2026-3397
Fencer Intel keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.