CVE-2025-8793
Litmuschaos Litmus ≤ 3.19.0
Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/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:XSummary
CVE-2025-8793 is a low-severity Resource Injection (CWE-99) vulnerability in Litmuschaos Litmus. Its CVSS base score is 2.1 (Low).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 33th percentile by exploit likelihood (below the median); 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 SI-10 (Information Input Validation) and AC-3 (Access Enforcement) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-24073
Vulnerability Data
A vulnerability classified as problematic was found in LitmusChaos Litmus up to 3.19.0. Affected by this vulnerability is an unknown functionality. The manipulation of the argument projectID leads to improper control of resource identifiers. The attack can be launched remotely.…
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The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.3.8V1.3.9V1.3.11V9.2.2
Mitigating Controls (NIST 800-53 r5) AI
Directly requires validation of inputs before they are accepted as resource identifiers.
Enforces authorizations on resource access so an injected identifier cannot reach outside the intended sphere.
Enforces information flow rules that block use of untrusted identifiers to reach unauthorized resources.
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 validation and sanitization that prevent resource-identifier injection flaws.
Least-privilege access policy and enforcement limits damage from injected resource identifiers even when input validation is absent.
Network segmentation and unauthorized-access controls reduce the blast radius of successful resource injection.
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 can detect resource-injection flaws but does not itself implement preventive controls.
Secure SDLC mandates input validation and resource-identifier sanitization that directly prevents resource injection.
Application security requirements explicitly call for controls on external identifiers used to access resources.
Secure architecture principles reduce attack surface for resource injection but do not prescribe identifier validation.
Secure coding standards require strict validation and whitelisting of all resource identifiers before use.
Information-access-restriction policies limit which resources can be referenced, indirectly reducing injection impact.