Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/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-2025-8227 is a low-severity Improper Input Validation (CWE-20) vulnerability in Chancms Chancms. Its CVSS base score is 2.1 (Low).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked in the top 48% 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-2025-8227 is a critical deserialization vulnerability in yanyutao0402 ChanCMS versions up to 3.1.2. The issue affects an unknown functionality within the /collect/getArticle file, where manipulation of the taskUrl argument triggers improper deserialization of untrusted data. This flaw is linked to CWE-20 (Improper Input Validation) and CWE-502 (Deserialization of Untrusted Data), carrying a CVSS v3.1 base score of 6.3 (AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L).
Attackers can exploit this vulnerability remotely by supplying a crafted taskUrl argument. Exploitation requires low privileges (PR:L), with no need for user interaction, allowing network-accessible targets to be compromised. Successful attacks can result in low-level impacts to confidentiality, integrity, and availability, such as limited data exposure, modification, or denial of service.
Mitigation is addressed by upgrading to ChanCMS version 3.1.3, which includes the specific patch commit 33d9bb464353015aaaba84e27638ac9a3912795d. Advisory references on Gitee detail the commit, related issue ICLP81, and the V3.1.3 release tree, while VulDB entries confirm the vulnerability details and public exploit disclosure.
The exploit has been publicly disclosed and may be actively used, increasing the urgency for affected deployments to patch immediately.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-22816
Vulnerability Data
A vulnerability was found in yanyutao0402 ChanCMS up to 3.1.2. It has been declared as critical. Affected by this vulnerability is an unknown functionality of the file /collect/getArticle. The manipulation of the argument taskUrl leads to deserialization. The attack can…
more
be launched remotely. The exploit has been disclosed to the public and may be used. Upgrading to version 3.1.3 is able to address this issue. The patch is named 33d9bb464353015aaaba84e27638ac9a3912795d. It is recommended to upgrade the affected component.
- 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 discover missing input validation through analysis or test cases.
SI-10 directly requires validity checks on information inputs, structurally preventing improper or missing validation.
Requiring documented development standards and tools can embed input-validation practices into the engineering process.
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 (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.
Testing against a defined set of requirements and using code review plus vulnerability scanning forces validation of inputs and handling of unanticipated conditions, reducing the chance that malformed data will be accepted.
Requiring language-specific secure coding standards, peer review, SAST and documented mitigation of common programming errors forces validation of all inputs before they are trusted.
Regular scanning of third-party libraries and timely patching reduce the likelihood that unsafe deserialization vulnerabilities remain active.
Hardening callouts derived
DISA STIG baselines are authored against specific weaknesses. Where this CVE cites a broad weakness class, the mapping is not asserted at that abstraction (owner ruling, 2026-09-25: grade only at Base and below), so no rule is shown here rather than a rule shown against the wrong grain.
- No fine-grained STIG row for CWE-20, a class-level weakness, and none of its children carries one either.