Raw vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:HSummary
CVE-2018-8298 is a high-severity Type Confusion (CWE-843) vulnerability in Microsoft Chakracore. Its CVSS base score is 7.5 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked in the top 0.5% 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.
A remote code execution vulnerability exists in the way that the ChakraCore scripting engine handles objects in memory, resulting in memory corruption classified under CWE-843. This affects ChakraCore and is tracked separately from multiple related issues in the same engine.
An attacker can exploit the flaw over a network with no privileges required but high attack complexity and user interaction needed, achieving high-impact effects on confidentiality, integrity, and availability.
Microsoft Security Response Center advisories reference the issue for guidance, while public exploit code is listed on Exploit-DB. The CVSS 7.5 score reflects the remote attack surface and potential for full system compromise when triggered.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-5575
Vulnerability Data
A remote code execution vulnerability exists in the way that the ChakraCore scripting engine handles objects in memory, aka "Scripting Engine Memory Corruption Vulnerability." This affects ChakraCore. This CVE ID is unique from CVE-2018-8242, CVE-2018-8283, CVE-2018-8287, CVE-2018-8288, CVE-2018-8291, CVE-2018-8296.
- CWE(s)
- KEV Date Added
- 03 March 2022
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.5.2V3.2.3V15.3.5
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 prevent type-confusion flaws via safe typing, static analysis, and code review while the control itself addresses many additional weaknesses.
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 can detect type-confusion vulnerabilities through fuzzing and static analysis.
Secure SDLC mandates type-safe design and review that can catch type-confusion flaws.
Application security requirements can specify strong typing and interface contracts that reduce type confusion.
Secure architecture principles promote type-safe languages and memory-safety mechanisms that mitigate type confusion.
Secure coding standards directly forbid unsafe type casts and require static-analysis checks for type confusion.