Cyber Resilience

CVE-2026-23842

HighPublic PoCDDoS

Published: 19 January 2026

Published
19 January 2026
Modified
05 February 2026
KEV Added
Patch
CVSS Score v3.1 7.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS Score 0.0004 12.2th percentile
Risk Priority 15 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2026-23842 is a high-severity Uncontrolled Resource Consumption (CWE-400) vulnerability in Chatterbot Chatterbot. Its CVSS base score is 7.5 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Application or System Exploitation (T1499.004); ranked at the 12.2th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

This vulnerability is AI-related — categorised as Machine Learning Libraries; in the Other ATLAS/OWASP Terms risk domain.

The strongest mitigations our analysis identified are NIST 800-53 SC-5 (Denial-of-service Protection) and SC-6 (Resource Availability).

Deeper analysis

CVE-2026-23842 is a denial-of-service vulnerability in ChatterBot, a machine learning conversational dialog engine used for creating chat bots. Versions up to 1.2.10 are affected due to improper database session and connection pool management. Specifically, concurrent invocations of the get_response() method exhaust the underlying SQLAlchemy connection pool, causing persistent service unavailability that requires a manual restart to recover. The issue is classified under CWE-400 (Uncontrolled Resource Consumption) with a CVSS v3.1 base score of 7.5 (AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H).

The vulnerability can be exploited remotely over the network by unauthenticated attackers with low complexity and no user interaction required. By sending multiple concurrent requests to the get_response() method, attackers can fully deplete the connection pool, resulting in high-impact availability disruption without affecting confidentiality or integrity.

ChatterBot version 1.2.11 resolves the issue through fixes detailed in the associated GitHub commit (de89fe648139f8eeacc998ad4524fab291a378cf), pull request 2432, and release notes. The GitHub security advisory (GHSA-v4w8-49pv-mf72) provides further details on the vulnerability and mitigation. Security practitioners should upgrade to version 1.2.11 immediately to prevent exploitation.

EU & UK References

Vulnerability details

ChatterBot is a machine learning, conversational dialog engine for creating chat bots. 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…

more

the underlying SQLAlchemy connection pool, resulting in persistent service unavailability and requiring a manual restart to recover. Version 1.2.11 fixes the issue.

CWE(s)

AI Security AnalysisAI

AI Category
Machine Learning Libraries
Risk Domain
Other ATLAS/OWASP Terms
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
Matched keywords: machine learning

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1499.004 Application or System Exploitation Impact
Adversaries may exploit software vulnerabilities that can cause an application or system to crash and deny availability to users.
Why these techniques?

CVE enables remote resource exhaustion DoS via application exploitation (CWE-400), directly matching T1499.004.

Confidence: HIGH · MITRE ATT&CK Enterprise v18.1

CVEs Like This One

CVE-2024-56921Shared CWE-400
CVE-2026-33538Shared CWE-400
CVE-2026-0517Shared CWE-400
CVE-2026-6051Shared CWE-400
CVE-2026-21945Shared CWE-400
CVE-2026-33750Shared CWE-400
CVE-2024-33618Shared CWE-400
CVE-2025-69534Shared CWE-400
CVE-2025-29487Shared CWE-400
CVE-2025-9278Shared CWE-400

Affected Assets

chatterbot
chatterbot
≤ 1.2.11

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

prevent

SI-2 requires timely flaw remediation, directly addressing this CVE by upgrading ChatterBot to version 1.2.11 which fixes the improper database session and connection pool management.

prevent

SC-5 Denial-of-service Protection directly prevents resource exhaustion attacks like concurrent get_response() invocations depleting the SQLAlchemy connection pool.

prevent

SC-6 Resource Availability enforces limits on resources such as database connection pools to prevent unauthorized depletion from concurrent requests.

References