CVE-2025-23006
RCE in Sonicwall Sma8200V ≤ 12.4.3-02854
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2025-23006 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Sonicwall Sma8200V. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 2% of CVEs by exploit likelihood; CISA has added it to the Known Exploited Vulnerabilities catalog.
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-2025-23006 is a pre-authentication deserialization of untrusted data vulnerability, tracked under CWE-502, that affects the SMA1000 Appliance Management Console (AMC) and Central Management Console (CMC). The flaw carries a CVSS 3.1 score of 9.8 and can, under specific conditions, permit remote execution of arbitrary operating system commands.
A remote unauthenticated attacker can exploit the issue over the network with low attack complexity and no user interaction, resulting in full compromise of confidentiality, integrity, and availability on the affected appliance.
The vulnerability appears in the CISA Known Exploited Vulnerabilities catalog, and SonicWall has published an advisory at https://psirt.global.sonicwall.com/vuln-detail/SNWLID-2025-0002 that addresses mitigation steps and available patches.
EPSS for the CVE rose from a low baseline to a peak of 0.6388 (current value 0.5007), indicating that exploitation interest increased after public disclosure and that the issue merits renewed attention.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-3070
Vulnerability Data
Pre-authentication deserialization of untrusted data vulnerability has been identified in the SMA1000 Appliance Management Console (AMC) and Central Management Console (CMC), which in specific conditions could potentially enable a remote unauthenticated attacker to execute arbitrary OS commands.
- CWE(s)
- KEV Date Added
- 24 January 2025
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.
Mandatory malware scanning of data received over networks or storage media intercepts malicious serialized payloads before they are deserialized by the target application.