Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2025-57602 is a critical-severity Use of Hard-coded Credentials (CWE-798) vulnerability. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Unsecured Credentials (T1552); ranked at the 43th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to IA-5 (Authenticator Management) and SC-12 (Cryptographic Key Establishment and Management) — 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-2025-57602, published on 2025-09-22, affects the AiKaan IoT management platform due to insufficient hardening of the proxyuser account combined with the use of a shared, hardcoded SSH private key. This flaw resides in the cloud controller component, enabling unauthorized access. The vulnerability 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-798 (Use of Hard-coded Credentials).
Remote attackers require no privileges or user interaction to exploit this vulnerability over the network with low complexity. They can authenticate to the cloud controller using the hardcoded SSH private key, obtain interactive shell access, and pivot to other connected IoT devices within customer environments. Successful exploitation leads to remote code execution, information disclosure, and privilege escalation across affected systems.
References for this CVE include documentation in the GitHub repository at https://github.com/Shubhangborkar/aikaan-vulnerabilities/blob/main/cve2-proxyuser-shell.md, which details the proxyuser shell access mechanism. No specific patches or mitigation steps are outlined in the provided information.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-30807
Vulnerability Data
Insufficient hardening of the proxyuser account in the AiKaan IoT management platform, combined with the use of a shared, hardcoded SSH private key, allows remote attackers to authenticate to the cloud controller, gain interactive shell access, and pivot into other…
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connected IoT devices. This can lead to remote code execution, information disclosure, and privilege escalation across customer environments.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Authenticator management requires secure distribution and handling of credentials, structurally discouraging hard-coded values.
Cryptographic key management mandates proper establishment and handling instead of embedding keys in code.
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.
PR.AA-01's credential/key-management processes can reduce the incentive to embed secrets but do not address or detect hard-coded values in source code, so the weakness remains fully possible.
PR.AA-02 addresses human identity proofing and per-person credential issuance at enrollment; it has no bearing on whether developers embed static credentials in software.
PR.DS-01 addresses encryption and integrity of stored data but never touches credential or key management practices, so it neither prevents hard-coded credentials nor removes any of their risk.
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.
Education on secure configuration practices discourages technical staff from embedding or relying on hard-coded credentials in systems and applications.
Secure key-generation, distribution and storage procedures reduce the likelihood that hard-coded or default cryptographic keys will be introduced or left unprotected.
Explicit prohibition of hard-coded passwords and unauthenticated external services stops credentials from being embedded directly in source code.
Contractual requirements for secure coding practices and evidence of testing make it less likely that hard-coded credentials will be introduced or remain undetected in delivered code.