CVE-2026-54264
Published: 22 June 2026
Summary
CVE-2026-54264 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Angularjs Angularjs. Its CVSS base score is 8.3 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Steal Application Access Token (T1528); ranked at the 13.2th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-38274
Vulnerability details
Angular is a development platform for building mobile and desktop web applications using TypeScript/JavaScript and other languages. Prior to 22.0.1, 21.2.17, and 20.3.25, an information disclosure vulnerability exists in the @angular/service-worker package of the Angular framework. When the Service Worker…
more
fetches assets, it preserves metadata (such as headers) from the original request. However, on cross-origin redirects, the Service Worker fails to strip sensitive headers, violating the Fetch redirect algorithm. This allows a remote attacker to obtain sensitive credentials (e.g., Authorization tokens, Proxy-Authorization credentials, or session cookies) by triggering a cross-origin redirect to an untrusted external origin. This vulnerability is fixed in 22.0.1, 21.2.17, and 20.3.25.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Vulnerability directly enables theft of web session cookies and application access tokens (e.g., Authorization headers) by leaking them on cross-origin redirects.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Automated marking applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.
Proper attribute retention and permitted-value enforcement limits unauthorized actors from accessing sensitive information lacking correct labels.
Review and removal of nonpublic information from publicly accessible systems directly prevents exposure of sensitive data to unauthorized actors.
Data mining protection mechanisms detect and block unauthorized bulk extraction of sensitive data, directly mitigating exposure to unauthorized actors.
Literacy training teaches users to recognize and avoid actions that result in unauthorized exposure of sensitive information.
Documenting information locations and authorized users enables better protection against unauthorized exposure of sensitive data.
Privacy and security architectures require controls to protect sensitive information from unauthorized exposure across the system lifecycle.
Requiring detailed, requestable records of every PII disclosure directly aids detection of unauthorized exposures of sensitive information.