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Not in CISA KEV
HIGH severity

CVE-2026-23842 — chatterbot

HIGHFix: gunthercox/ChatterBot@de89fe6

CVE-2026-23842 is a high-severity (CVSS 7.5) Uncontrolled Resource Consumption vulnerability in chatterbot. A fix is available for chatterbot — see the affected versions and patch details below.

ChatterBot has Denial of Service via Database Connection Pool Exhaustion

Also known asGHSA-v4w8-49pv-mf72PYSEC-2026-1244
Published
Updated
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed
Exploitation data as of Nov 5, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

No confirmed exploitation observed yet

  • CISA assesses this as automatable — exploitation doesn’t require manual, per-target effort, which raises the odds of mass scanning and opportunistic attacks.
  • CISA’s own triage has not observed active exploitation or public proof-of-concept code for this CVE as of its last assessment.

Exploitation and automatability from CISA’s SSVC triage for CVE-2026-23842.

EPSS Exploitation Probability

via FIRST.org ↗
0.5%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs46th percentile — riskier than 46% of all scored CVEsHighest risk
0.00%0.35%0.70%1.05%0.0%0.5%May 26Sep 26Nov 26

Probability of exploitation in the next 30 days, from FIRST.org EPSS.

How urgent is this, really

Where this sits among everything scored

Real-World Exposure

1 pkg affected
🐍chatterbot

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

Summary

ChatterBot versions up to 1.2.10 are vulnerable to a denial-of-service condition caused by improper database session and connection pool management. Concurrent invocations of the get_response() method can exhaust the underlying SQLAlchemy connection pool, resulting in persistent service unavailability and requiring a manual restart to recover.

Details

ChatterBot relies on SQLAlchemy for database access and uses a connection pool with default limits. The get_response() method does not enforce concurrency limits, rate limiting, or explicit session lifecycle controls.

When multiple threads concurrently invoke get_response(), database connections are rapidly consumed and not released in a timely manner. This leads to exhaustion of the SQLAlchemy QueuePool, causing subsequent requests to block and eventually fail with a TimeoutError.

This issue can be triggered without authentication in deployments where ChatterBot is exposed as a chatbot service, making it exploitable by remote attackers to cause denial of service.

PoC Video: https://github.com/user-attachments/assets/4ee845c4-b847-4854-84ec-4b2fb2f7090f

PoC

  1. Install ChatterBot version 1.2.10.
  2. Use the default database configuration (SQLite / SQLAlchemy).
  3. Run the following Python script to invoke concurrent requests:

from chatterbot import ChatBot import threading

bot = ChatBot("dos-test")

def attack(): bot.get_response("hello")

threads = [] for _ in range(30): t = threading.Thread(target=attack) t.start() threads.append(t)

for t in threads: t.join()

  1. Observe that the application becomes unresponsive and raises SQLAlchemy TimeoutError exceptions indicating exhaustion of the connection pool.

Impact

This vulnerability allows an attacker to trigger a denial-of-service condition by exhausting the database connection pool. Once triggered, the chatbot becomes unresponsive to legitimate users and requires a manual restart to restore functionality.

All deployments of ChatterBot version 1.2.10 or earlier that allow concurrent access to the get_response() method are impacted.

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIchatterbotall versions1.2.11pip install --upgrade 'chatterbot==1.2.11'

Affected Products

1 product · 1 configurations
Application
chatterbotchatterbot
< 1.2.11
range

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for chatterbot, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update chatterbot to 1.2.11 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2026-23842 is resolved across your whole dependency graph.

  3. Workarounds

    Cap what an attacker can consume: apply request size, rate and timeout limits in front of the affected component, and run it with memory and CPU limits so exhaustion degrades one worker rather than the whole service.

Frequently Asked Questions

### Summary ChatterBot versions up to 1.2.10 are vulnerable to a denial-of-service condition caused by improper database session and connection pool management. Concurrent invocations of the get_response() method can exhaust the underlying SQLAlchemy connection pool, resulting in persistent service unavailability and requiring a manual restart to recover. ### Details ChatterBot relies on SQLAlchemy for database access and uses a connection pool with default limits. The get_response() method does not enforce concurrency limits, rate limiting, or explicit session lifecycle controls. When multi
O3 Security · Impact-Aware SCA

Is CVE-2026-23842 in your dependencies?

Find it across PyPI, including transitive dependencies.

CVE-2026-23842: chatterbot DoS — Fixed in 1.2.11