CVE-2026-34934
Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.
NVD · uneditedPraisonAI is a multi-agent teams system. Prior to version 4.5.90, the get_all_user_threads function constructs raw SQL queries using f-strings with unescaped thread IDs fetched from the database. An attacker stores a malicious thread ID via update_thread. 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.
Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.
dbcve analysis · high confidencePraisonAI versions before 4.5.90 contain a stored SQL injection vulnerability in the get_all_user_threads function. The function uses f-strings to construct raw SQL queries with thread IDs retrieved from the database, which are not escaped before inclusion in the query. An attacker can store a malicious payload as a thread ID via update_thread, which then executes when the application loads the thread list, granting full database access.
Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.
Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.
NVD · CPE data< 4.5.90CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.
From the vector- Attack vector
- Network
- Complexity
- Low
- Privileges
- None
- User interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.
dbcve checksWork through these to decide whether this CVE applies to you.
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Check installed PraisonAI versionRun 'pip show praisonai' or 'pip list | grep praisonai' to see the installed versionAffected if Version is lower than 4.5.90
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Locate get_all_user_threads functionSearch the codebase for 'def get_all_user_threads' in Python filesAffected if Function exists and uses f-strings for SQL query construction with thread_id parameter
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Inspect SQL query construction in get_all_user_threadsOpen the file containing get_all_user_threads and examine if f-strings or string concatenation are used with thread_id in raw SQL queriesAffected if SQL queries are built using f-strings or string formatting without parameterized queries
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Check update_thread function for stored injectionSearch for 'def update_thread' and examine how thread_id values are stored to the databaseAffected if update_thread accepts and stores thread_id without sanitization
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Verify database query library usageCheck if the application uses raw SQL with string formatting instead of parameterized queries or an ORMAffected if Code uses execute() or cursor with f-string/raw string SQL queries instead of parameterized statements
A user is affected if running PraisonAI version below 4.5.90 AND the codebase contains the vulnerable get_all_user_threads function using unsafe f-string SQL queries with thread IDs.
Generated from the published advisory. Verify against your own configuration.
Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.
dbcve · scoped4.5.90
Upgrade to PraisonAI version 4.5.90 or later, which implements proper query parameterization. If immediate patching is not feasible, implement input validation on thread IDs and refactor queries to use parameterized statements instead of f-string concatenation.
Upgrade to PraisonAI version 4.5.90 or later
- Check the currently installed version of PraisonAI using: pip show praisonai or pip list | grep praisonai
- Upgrade PraisonAI to version 4.5.90 or later using: pip install --upgrade praisonai==4.5.90 (or pip install --upgrade praisonai to get the latest version)
- Verify the upgrade was successful by running: pip show praisonai and confirming the version number is 4.5.90 or higher
- Test the application to ensure the get_all_user_threads and update_thread functions work correctly after the upgrade
Generated from the published advisory — verify against the referenced sources before acting.
- Consultation4.0 h
- Implementation4.0 h
- Testing4.0 h
- Review / QA2.0 h
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Scan for this in your stack
Free · runs locallyCheck whether your project pulls in CVE-2026-34934 — or any other known-vulnerable package — straight from your lock files. Free and open source; it runs locally and uploads nothing.
References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.
Primary sourcesPractitioner notes
ContributedPeer-ranked notes from engineers who’ve handled CVE-2026-34934 in production — separate from our analysis above.
The advisory tells you what broke. It rarely tells you what actually worked. If you’ve dealt with this one, that detail is what the next engineer is searching for.
- The version that genuinely resolved it — not the one the vendor claimed
- A config change or rule that shut the vector down
- A gotcha in the upgrade path that cost you an afternoon
No notes yet
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- Verified mitigations, workarounds, and config changes
- Version or environment caveats, and links to real fixes
- No weaponised exploit code, or anything meant to cause harm
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