Security Digest · Vulnerability record
CVE-2026-34934: PraisonAI Has Second-Order SQL Injection in `get_all_user_threads`
PraisonAI is a multi-agent teams system. Prior to version 4.5.90, the getalluserthreads function constructs raw SQL queries using f-strings with unescaped thread IDs fetched from the database.
CVSS 9.8 Critical EPSS 0.6% · p48
Should you act?
Critical and remotely reachable
No known exploitation yet, but it is network-reachable without credentials. This signal is computed from CISA KEV, EPSS and CVSS data; it is not an editorial verdict.
- Not in CISA KEV, but CISA’s SSVC assessment records a public proof-of-concept, so attack code exists.
- EPSS 0.6%, percentile 48: FIRST’s model estimates a 0.6% chance of exploitation activity in the next 30 days, higher than 48% of all scored CVEs (low). EPSS is a probability, not a verdict.
- Remotely reachable with no login and no user interaction. If the vulnerable service is exposed to the internet, prioritize it.
- Only applies if your dependency tree includes
praisonai(PyPI) <= 4.5.89, fixed in 4.5.90. Check your lockfile, including transitive dependencies.
What it is
PraisonAI is a multi-agent teams system. Prior to version 4.5.90, the getalluserthreads function constructs raw SQL queries using f-strings with unescaped thread IDs fetched from the database. An attacker stores a malicious thread ID via updatethread. When the application loads the thread list, the injected payload executes and grants full database access. This issue has been patched in version 4.5.90.
From the GitHub advisory
Summary
The getalluserthreads function constructs raw SQL queries using f-strings with unescaped thread IDs fetched from the database. An attacker stores a malicious thread ID via updatethread. When the application loads the thread list, the injected payload executes and grants full database access.
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Details
File Path: src/praisonai/praisonai/ui/sqlalchemy.py
Weakness type: CWE-89.
Product: praisonai (PyPI) · Assigned by: GitHub_M · Published: 2026-04-03
Affected and fixed versions
| Ecosystem | Package | Vulnerable | First fixed |
|---|---|---|---|
| PyPI | praisonai | <= 4.5.89 | 4.5.90 |
| Vendor | Product | Affected versions (per CVE record) |
|---|---|---|
| MervinPraison | PraisonAI | < 4.5.90 |
Severity scores
| Scored by | CVSS | Score | Vector |
|---|---|---|---|
| GitHub_M | 3.1 | 9.8 Critical | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H |
| GitHub | 3.1 | 9.8 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H |
- Attack vector: network (remotely reachable)
- Attack complexity: low
- Privileges required: none (no login)
- User interaction: none
- Scope: unchanged
CVSS measures how bad a flaw is if exploited, not how likely exploitation is. Read it next to the exploitation data below.
Exploitation and urgency
- CISA KEV: not listed (no confirmed in-the-wild exploitation known to CISA).
- CISA SSVC assessment: exploitation poc, automatable yes, technical impact total.
- FIRST EPSS (model of 2026-10-21): 0.60% probability of exploitation activity in the next 30 days; percentile 48.
Timeline
- — GitHub-reviewed advisory GHSA-9cq8-3v94-434g published (critical)
- — CVE record published by GitHub_M
- — CVE record last updated
Sources and references
Original sources first. Version and fix details should always be confirmed against the vendor or project advisory.
Vulnerability records
- GitHub Advisory GHSA-9cq8-3v94-434g github.com
- CVE.org record CVE-2026-34934 cve.org
- NVD entry CVE-2026-34934 nvd.nist.gov
Other references from the CVE record and advisory
- github.com github.com