Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N/E:X/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-2026-109315 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability. Its CVSS base score is 7.1 (High).
Operationally, ranked at the 21th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-97617
Vulnerability Data
Grav from 2.0.22 before 2.1.7 contains an information disclosure vulnerability that allows page editors to read the Clockwork debugger token because the sandbox redaction list omits system.debugger.token. Attackers can render the token through editor-authored Twig and supply it as X-Clockwork-Auth…
more
to read profiler records with configuration, request metadata, and database queries.
- CWE(s)
Related Threats
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.
Automated marking applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.
Proper attribute retention and permitted-value enforcement limits unauthorized actors from accessing sensitive information lacking correct labels.
Prevents unauthorized exposure of sensitive information by prohibiting untrusted external systems from processing or storing it.
By enforcing authorization matching prior to sharing, the control reduces the risk of exposing sensitive information to unauthorized actors.
Review and removal of nonpublic information from publicly accessible systems directly prevents exposure of sensitive data to unauthorized actors.
Data mining protection mechanisms detect and block unauthorized bulk extraction of sensitive data, directly mitigating exposure to unauthorized actors.
Literacy training teaches users to recognize and avoid actions that result in unauthorized exposure of sensitive information.
Retaining and monitoring training records confirms personnel have completed privacy and security awareness training on handling sensitive data, reducing the chance of unauthorized exposure due to lack of knowledge.
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.
Suppressing system details, error specifics, and previous log-on information until successful authentication reduces the information an unauthenticated attacker can gather.
Requiring encryption, access controls, and recipient authentication for transfers directly reduces the chance that sensitive data reaches an unauthorized observer.
Secure delivery, protected storage, and confidentiality of allocation records limit exposure of authentication material to unauthorized observers.
A.8.1's policy+enforcement on access controls, storage encryption, malware protection, device registration, remote wipe/lock, physical/logical protections, partitioning, and BYOD separation (plus config enforcement via 8.9) stops most unauthorized exposure of sensitive data from endpoints; named remainder is exposures via error messages, side channels or non-endpoint vectors (see A.8.3 mostly on same CWE).
A.8.10 mandates timely, secure deletion (overwriting, crypto erase, certified disposal, automation per retention policy) of unneeded sensitive information on all media, which directly stops most exposure paths in CWE-200; the bounded remainder is exposure that is not a retention issue at all (e.g. CWE-209 error messages, CWE-203 observable discrepancies, CWE-215 debug code).
data masking (incl. pseudonymization/anonymization) directly limits exposure of sensitive data to unauthorized actors per the purpose and guidance, covering most but not all vectors in CWE-200 (e.g. residual indirect re-identification risks or non-masked exposure paths like error messages remain nameable)
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.