CVE-2020-10189
RCE in Zohocorp Manageengine Desktop Central ≤ 10.0.479
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2020-10189 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Zohocorp Manageengine Desktop Central. 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 0.0% of CVEs by exploit likelihood; CISA has added it to the Known Exploited Vulnerabilities catalog; a public proof-of-concept is referenced.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
Zoho ManageEngine Desktop Central versions before 10.0.474 contain a remote code execution vulnerability stemming from unsafe deserialization of untrusted data. The flaw resides in the getChartImage method of the FileStorage class and is exposed through the CewolfServlet and MDMLogUploaderServlet servlets, corresponding to CWE-502.
An unauthenticated attacker with network access can supply a crafted serialized object to trigger arbitrary code execution on the server, achieving full control over the affected system as indicated by the CVSS 9.8 score with no required privileges or user interaction.
The vendor advisory from ManageEngine addresses the issue in version 10.0.474, while public exploit code and a detailed technical write-up are available that demonstrate the deserialization attack path.
A functional proof-of-concept has been published, confirming that the vulnerability is exploitable in practice against unpatched installations.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2020-2650
Vulnerability Data
Zoho ManageEngine Desktop Central before 10.0.474 allows remote code execution because of deserialization of untrusted data in getChartImage in the FileStorage class. This is related to the CewolfServlet and MDMLogUploaderServlet servlets.
- CWE(s)
- KEV Date Added
- 03 November 2021
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Penetration testing supplies malicious serialized objects, detecting unsafe deserialization and supporting corrective actions.
Evaluation of untrusted data handling (deserialization testing) reveals unsafe processing, which the required remediation process addresses.
Untrusted serialized data can be deserialized and observed inside the chamber, blocking gadget-chain exploitation outside the sandbox.
Validates or rejects untrusted serialized data before deserialization occurs.
Identifies and blocks malicious code introduced through deserialization of untrusted data at system boundaries.
Integrity verification of serialized information can detect tampering before deserialization occurs.
Provenance of associated data allows detection of untrusted sources before deserialization or processing occurs.
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.