CVE-2024-40711
RCE in Veeam Backup \& Replication 12.0.0.1420 – 12.2.0.334
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2024-40711 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Veeam Veeam Backup \& Replication. 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 0.2% of CVEs by exploit likelihood; CISA has added it to the Known Exploited Vulnerabilities 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.
A deserialization of untrusted data vulnerability (CWE-502) affects Veeam Backup software and permits unauthenticated remote code execution when a malicious payload is processed. The flaw carries a CVSS 3.1 score of 9.8, reflecting network-accessible attack conditions with no required authentication or user interaction and full impact on confidentiality, integrity, and availability.
An unauthenticated remote attacker can submit a crafted serialized object to the affected service, triggering arbitrary code execution on the target system. Successful exploitation grants the attacker the ability to run commands, deploy additional payloads, or establish persistent access without prior credentials.
Veeam’s advisory KB4649 and subsequent patches address the issue through updated deserialization handling and input validation. CISA has added the CVE to its Known Exploited Vulnerabilities catalog, confirming active exploitation in the wild. The EPSS score rose sharply from low values after disclosure to a peak of 0.9680 on 2024-12-15 before receding to the current 0.7046, indicating sustained attacker interest following public release.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-38578
Vulnerability Data
A deserialization of untrusted data vulnerability with a malicious payload can allow an unauthenticated remote code execution (RCE).
- CWE(s)
- KEV Date Added
- 17 October 2024
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.