CVE-2020-17530
RCE in Oracle Communications Diameter Intelligence Hub 8.0.0 … 8.2.3
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2020-17530 is a critical-severity Expression Language Injection (CWE-917) vulnerability in Oracle Communications Diameter Intelligence Hub. 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 0.1% 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.
The vulnerability is forced OGNL evaluation when evaluated on raw user input in tag attributes, which may lead to remote code execution. It affects Apache Struts versions 2.0.0 through 2.5.25 and is associated with CWE-917.
An attacker can exploit the issue remotely over a network without authentication or user interaction, as reflected in the CVSS 3.1 score of 9.8 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H), resulting in arbitrary code execution with full impact on confidentiality, integrity, and availability.
Advisories and additional details are referenced at https://cwiki.apache.org/confluence/display/WW/S2-061 along with JVN, Packet Storm, OpenWall, and NetApp security notices.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-1073
Vulnerability Data
Forced OGNL evaluation, when evaluated on raw user input in tag attributes, may lead to remote code execution. Affected software : Apache Struts 2.0.0 - Struts 2.5.25.
- CWE(s)
- KEV Date Added
- 03 November 2021
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.1.2V1.3.2V1.3.5V4.3.1
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.
Secure SDLC practices directly require input neutralization and safe EL construction to prevent injection flaws.
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 in development and acceptance can detect EL injection but does not itself implement the fix.
Secure SDLC mandates input validation and output encoding that directly prevent expression-language injection.
Application security requirements explicitly call for controls against injection flaws including EL injection.
Secure architecture principles reduce the attack surface but do not prescribe the specific neutralization techniques needed.
Secure coding standards require proper escaping and parameterization of expression-language statements.