Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/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:XCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2025-34067 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in S4E (inferred from references). Its CVSS base score is 10.0 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 3% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) 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-2025-34067 is an unauthenticated remote code execution flaw in the applyCT component of the Hikvision Integrated Security Management Platform. The vulnerability stems from the component's use of a vulnerable Fastjson library version; the endpoint /bic/ssoService/v1/applyCT accepts and deserializes untrusted user input, enabling Fastjson's auto-type feature to load arbitrary Java classes referenced through an LDAP URL.
An attacker with network access can send a crafted request to the endpoint that triggers class loading and achieves arbitrary command execution on the underlying system. No authentication or user interaction is required, and the CVSS 4.0 score of 10.0 reflects the full impact across confidentiality, integrity, and availability.
Exploitation evidence was recorded by the Shadowserver Foundation on 2025-02-05 UTC. The EPSS score has remained flat at a peak of 0.0842 with no material increase since disclosure. Public references, including detailed write-ups on GitHub and advisories from VulnCheck and S4E, document the issue but do not specify vendor patches or configuration mitigations in the available sources.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-19719
Vulnerability Data
An unauthenticated remote command execution vulnerability exists in the applyCT component of the Hikvision Integrated Security Management Platform due to the use of a vulnerable version of the Fastjson library. The endpoint /bic/ssoService/v1/applyCT deserializes untrusted user input, allowing an attacker…
more
to trigger Fastjson's auto-type feature to load arbitrary Java classes. By referencing a malicious class via an LDAP URL, an attacker can achieve remote code execution on the underlying system. Exploitation evidence was observed by the Shadowserver Foundation on 2025-02-05 UTC.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can uncover deserialization flaws before deployment.
Input validation directly stops deserialization of untrusted data by ensuring inputs are valid before processing.
Engineering principles such as safe deserialization and input sanitization structurally prevent the weakness from being introduced.
Integrity verification tools can detect malformed or tampered serialized data after the fact.
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.PS-02 addresses only post-deployment updates/patching and cannot prevent introduction of unsafe deserialization code, yet it can remediate some instances when the flaw exists in outdated libraries or components.
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.
Security testing includes validation of deserialization routines and the use of untrusted data, reducing the likelihood that unsafe object reconstruction will be deployed.
Requiring vetted libraries, regular updates and SAST before release reduces the likelihood that deserialization logic will accept and act on attacker-controlled serialized objects.
Regular scanning of third-party libraries and timely patching reduce the likelihood that unsafe deserialization vulnerabilities remain active.