CVE-2025-49827
Cyberark Conjur 1.19.5 – 1.22.1
Raw vector
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:XSummary
CVE-2025-49827 is a critical-severity Reliance on Untrusted Inputs in a Security Decision (CWE-807) vulnerability in Cyberark Conjur. Its CVSS base score is 9.1 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 30% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to AC-24 (Access Control Decisions) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2025-49827 is a vulnerability in the IAM authenticator of Conjur OSS versions 1.19.5 through 1.22.0 and Secrets Manager, Self-Hosted (formerly Conjur Enterprise) versions 13.1 through 13.5 and 13.6. Conjur provides secrets management and application identity for infrastructure. The flaw stems from a malformed regular expression that enables attackers to redirect authentication validation requests sent to AWS to a malicious server under their control, bypassing the IAM authenticator. It is rated with a CVSS v3.1 base score of 9.8 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H) and is associated with CWE-807 (Reliance on Untrusted Inputs in a Security Decision).
An attacker capable of manipulating headers signed by AWS can exploit this issue remotely with low complexity and no privileges or user interaction required. By altering the headers, the attacker redirects the validation request to their controlled server, impersonating a legitimate client and gaining the permissions associated with that client's authentication. This results in high confidentiality, integrity, and availability impacts, potentially allowing unauthorized access to secrets and resources managed by the affected Conjur instances.
Advisories recommend upgrading to fixed versions: Conjur OSS 1.22.1, Secrets Manager Self-Hosted 13.5.1, and 13.6.1. Detailed information is available in the GitHub security advisory (GHSA-gmc5-9mpc-xg75) and release notes for Conjur v1.22.1, along with announcements on oss-security mailing lists.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-21537
Vulnerability Data
Conjur provides secrets management and application identity for infrastructure. Conjur OSS versions 1.19.5 through 1.22.0 and Secrets Manager, Self-Hosted (formerly known as Conjur Enterprise) 13.1 through 13.5 and 13.6 are vulnerable to bypass of the IAM authenticator. An attacker who…
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can manipulate the headers signed by AWS can take advantage of a malformed regular expression to redirect the authentication validation request that Secrets Manager, Self-Hosted sends to AWS to a malicious server controlled by the attacker. This redirection could result in a bypass of the Secrets Manager, Self-Hosted IAM Authenticator, granting the attacker the permissions granted to the client whose request was manipulated. This issue affects both Secrets Manager, Self-Hosted (formerly Conjur Enterprise) and Conjur OSS. Conjur OSS version 1.22.1 and Secrets Manager, Self-Hosted versions 13.5.1 and 13.6.1 fix the issue.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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- 1 hardening rule · 1 OS baseline
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Mitigating Controls (NIST 800-53 r5) AI
Explicitly requires that every access decision be based on authoritative, protected decision data rather than caller-supplied inputs.
Input validation can reject malformed or attacker-controlled values before they reach a security decision point.
Access enforcement requires decisions to be made from trusted policy data rather than modifiable client-supplied inputs.
Information-flow enforcement applies rules to validated, internal attributes instead of untrusted external values.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Strong authentication mechanisms directly prevent security decisions from depending on modifiable, untrusted inputs.
Verification and protection of identity assertions stops reliance on attacker-controlled values for authorization decisions.
Proper management of identities/credentials reduces the chance that security decisions will be driven by untrusted inputs.
Policy-driven, least-privilege authorization reduces opportunities to bypass controls via tampered inputs.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Secure coding standards directly prohibit using untrusted inputs for security-critical decisions.
Security testing in development catches input-validation flaws before deployment.
Monitoring can detect exploitation but does not stop the underlying weakness.
Application security requirements explicitly call for validation of inputs used in security decisions.
Secure architecture principles mandate treating all external inputs as untrusted.
Access-control rules can be bypassed if they rely on untrusted inputs.