CVE-2023-51641
Deserialization in Alltena Allegra ≤ 7.5.1
Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:LCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2023-51641 is a medium-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Alltena Allegra. Its CVSS base score is 6.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Junk Data (T1001.001); 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 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.
Allegra contains a deserialization of untrusted data vulnerability in the renderFieldMatch method that permits remote code execution. The flaw affects installations of the Allegra project management application and stems from insufficient validation of user-supplied input passed to the deserialization routine, allowing an attacker to supply a malicious serialized object.
Although the vulnerability requires authentication, the product’s built-in registration mechanism enables an attacker to obtain an account with sufficient privileges. Successful exploitation grants the ability to execute arbitrary code in the context of the LOCAL SERVICE account on the affected system.
The referenced Zero Day Initiative advisory ZDI-24-106 and Trackplus 7.5.1 release notes indicate that the issue is resolved in Allegra version 7.5.1. The EPSS score has remained flat at 0.0628 with no material increase since disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-56353
Vulnerability Data
Allegra renderFieldMatch Deserialization of Unstrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Allegra. Although authentication is required to exploit this vulnerability, product implements a registration mechanism that can be…
more
used to create a user with a sufficient privilege level. The specific flaw exists within the renderFieldMatch method. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of LOCAL SERVICE. Was ZDI-CAN-22505.
- 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.