Authorization Bypass via User-Controlled Trusted Identifiers

Authorization bypass through User-Controlled key vulnerability in Yordam Information Technology Consulting, Training and Electronic Systems Industry and Trade Inc. Library Automation System allows Exploitation of Trusted Identifiers. This issue affects Library Automation System: from v.21.6 before v.22.1.

Casky was already ahead

This CVE exploits attack patterns that Casky's 261matched 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

CVE-2025-15025 represents a critical authorization bypass vulnerability in Yordam's Library Automation System (versions 21.6 through 22.0) that allows attackers to exploit user-controlled identifiers to bypass authentication and access controls. This CWE-639 vulnerability is particularly dangerous because it trusts user-supplied data to validate permissions, enabling attackers to impersonate legitimate users or elevate privileges without proper credential verification. Organizations running affected versions of the Library Automation System face immediate risk of unauthorized data access, system compromise, and potential lateral movement within their infrastructure. Libraries, educational institutions, and any organization relying on this system for access control are vulnerable until they upgrade to version 22.1 or later.

Casky's 261 matching skills leverage Claude's extended reasoning to detect the attack patterns underlying this vulnerability across MITRE ATT&CK techniques TA0004 (Privilege Escalation) and TA0006 (Credential Access). Practitioners using Casky would identify suspicious indicators including: anomalous token manipulation patterns where user-controlled keys bypass standard authorization checks; unexpected privilege elevation without corresponding authentication events; and atypical access patterns to protected resources from previously restricted user accounts. The platform's skill set enables detection of abuse of trusted system identifiers—such as modified session tokens, manipulated user IDs, or forged authorization headers—that attackers leverage to masquerade as privileged users. By mapping these exploitation patterns to MITRE techniques, security teams gain visibility into both initial access vectors and post-compromise lateral movement attempts that would otherwise appear legitimate in standard logs.

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Casky Risk Score

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EPSS Probability

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Shodan Exposure

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GreyNoise Signal

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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 →

261 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2025-15025.

analyzing-cloud-storage-access-patterns

cloud security · low

Run

analyzing-kubernetes-audit-logs

container security · low

Run

analyzing-malicious-url-with-urlscan

phishing defense · medium

Run

MITRE ATT&CK Techniques

TA0004 TA0006

Investigate the attack patterns behind CVE-2025-15025

Casky has 261 skills that investigate the attack patterns behind CVE-2025-15025. Run one and get CVSS-scored findings in 3 minutes.

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