CVE-2022-31102
Published: 12 July 2022
Summary
CVE-2022-31102 is a low-severity Cross-site Scripting (CWE-79) vulnerability in Argoproj Argo Cd. Its CVSS base score is 2.6 (Low).
Operationally, ranked at the 36.2th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-6387
Vulnerability details
Argo CD is a declarative, GitOps continuous delivery tool for Kubernetes. Argo CD starting with 2.3.0 and prior to 2.3.6 and 2.4.5 is vulnerable to a cross-site scripting (XSS) bug which could allow an attacker to inject arbitrary JavaScript in…
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the `/auth/callback` page in a victim's browser. This vulnerability only affects Argo CD instances which have single sign on (SSO) enabled. The exploit also assumes the attacker has 1) access to the API server's encryption key, 2) a method to add a cookie to the victim's browser, and 3) the ability to convince the victim to visit a malicious `/auth/callback` link. The vulnerability is classified as low severity because access to the API server's encryption key already grants a high level of access. Exploiting the XSS would allow the attacker to impersonate the victim, but would not grant any privileges which the attacker could not otherwise gain using the encryption key. A patch for this vulnerability has been released in the following Argo CD versions 2.4.5 and 2.3.6. There is currently no known workaround.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
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.
Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.
Validates web inputs to reject script-related content that could produce XSS.
Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.