AgentScope Authentication Bypass via X-User-ID Header Manipulation

A vulnerability has been found in agentscope-ai AgentScope up to 2.0.11. This impacts the function get_current_user_id of the file src/agentscope/app/deps.py of the component Agent Service. Such manipulation of the argument X-User-ID leads to missing authentication. The attack can be executed remotely. The exploit has been disclosed to the public and may be used. The pull request to fix this issue awaits acceptance.

Casky was already ahead

This CVE exploits attack patterns that Casky's 283matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.

Analysis

AgentScope versions up to 2.0.11 contain a critical authentication bypass vulnerability in the Agent Service component. The `get_current_user_id()` function in `src/agentscope/app/deps.py` fails to properly validate the X-User-ID header argument, allowing attackers to manipulate user identity without legitimate credentials. This vulnerability affects any organization deploying AgentScope as their AI agent orchestration platform, particularly those exposing the Agent Service over networks. The impact is severe: attackers can assume arbitrary user identities, bypass authentication controls entirely, and access or modify resources belonging to other users—a foundational compromise of system security.

Casky's 283 matched security skills enable detection of the authentication bypass patterns underlying this CVE through MITRE ATT&CK techniques TA0004 (Privilege Escalation) and TA0006 (Credential Access). Practitioners using Casky would identify suspicious patterns such as: unexpected X-User-ID header values in Agent Service requests that don't correlate with session tokens, authentication decisions made solely on unvalidated client-supplied headers, and privilege escalation when low-privilege accounts suddenly access high-privilege resources without re-authentication. Claude's extended reasoning capability maps these behavioral indicators to the root cause—missing input validation on authentication-critical parameters—and correlates them with similar bypass patterns across the platform. Practitioners would see findings highlighting improper dependency injection in authentication flows and the absence of server-side session validation, enabling them to identify similar vulnerabilities in custom agent implementations.

Live Threat IntelligenceComing soon

Casky Risk Score

—

EPSS Probability

—

Shodan Exposure

—

GreyNoise Signal

—

Composite risk scoring from EPSS, CISA KEV, Shodan, and GreyNoise — 21 security APIs correlated into a single Casky Risk Score. Coming in Casky Pro. Join early access →

283 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-123024.

abusing-dpapi-for-credential-access

red teaming · high

Run

abusing-shadow-credentials-for-privesc

red teaming · high

Run

Access with Stolen Session Cookie

cryptography · low

Run

MITRE ATT&CK Techniques

TA0004 TA0006

Investigate the attack patterns behind CVE-2026-123024

Casky has 283 skills that investigate the attack patterns behind CVE-2026-123024. Run one and get CVSS-scored findings in 3 minutes.

Run the skill that detects this →

X Instagram LinkedIn