Cyber Resilience

CVE-2023-1974

Answer ≤ 1.0.8

Public PoC
Published
11 April 2023
Modified
21 November 2024
Patch / advisory
View advisory
CVSS Score v3.1 6.5
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N
EPSS Score 0.0060 45th percentile
Risk Priority 51 floored blend · peak EPSS

Summary

CVE-2023-1974 is a medium-severity Exposure of Sensitive Information Through Metadata (CWE-1230) vulnerability in Answer Answer. Its CVSS base score is 6.5 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Data from Local System (T1005); ranked at the 45th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

EU & UK References

Vulnerability Data

Exposure of Sensitive Information Through Metadata in GitHub repository answerdev/answer prior to 1.0.8.

CWE(s)
CWE-1230

Related Threats

MITRE ATT&CK Enterprise Techniques

T1005 Data from Local System Collection
Adversaries may search local system sources, such as file systems, configuration files, local databases, virtual machine files, or process memory, to find files of interest and sensitive data prior to Exfiltration.
attack.mitre.org →
T1025 Data from Removable Media Collection
Adversaries may search connected removable media on computers they have compromised to find files of interest.
attack.mitre.org →
T1083 File and Directory Discovery Discovery
Adversaries may enumerate files and directories or may search in specific locations of a host or network share for certain information within a file system.
attack.mitre.org →
T1217 Browser Information Discovery Discovery
Adversaries may enumerate information about browsers to learn more about compromised environments.
attack.mitre.org →
T1592 Gather Victim Host Information Reconnaissance
Adversaries may gather information about the victim's hosts that can be used during targeting.
attack.mitre.org →
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2023-1542Same product: Answer Answer
CVE-2023-0739Same product: Answer Answer
CVE-2023-0741Same product: Answer Answer
CVE-2023-1976Same product: Answer Answer
CVE-2023-4124Same product: Answer Answer
CVE-2023-0742Same product: Answer Answer
CVE-2023-1538Same product: Answer Answer
CVE-2023-0740Same product: Answer Answer
CVE-2023-4127Same product: Answer Answer
CVE-2023-1237Same product: Answer Answer

Affected Assets

answer
answer
≤ 1.0.8

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

—

Detect
Catch it (NIST detect / respond)

—

Harden
Shrink the surface (DISA STIG)
  • 1 hardening rule · 1 OS baseline
Validate
Prove the fix (OWASP ASVS)
  • V3.4.2
  • V12.1.5
  • V13.3.2
  • V14.2.4

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.

AU-13 Monitoring for Information Disclosure
addresses: CWE-1230

Identifies sensitive information exposed via metadata during disclosure monitoring.

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.

ID.AM-07 mostly match
prevents

Explicit inventorying of metadata enables identification and subsequent protection of sensitive derived information.

PR.AA-05 mostly match
prevents

Least-privilege access policies applied to metadata directly prevent unauthorized exposure of sensitive derived data.

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.

A.5.12 Classification of information partial match
mitigates

Classification helps identify metadata that may need protection, but does not directly limit its exposure.

A.5.13 Labelling of information partial match
mitigates

Labelling can flag sensitive metadata, yet does not enforce technical controls to prevent its disclosure.

A.5.14 Information transfer partial match
degrades

Transfer policies can require stripping or protecting metadata, but coverage is indirect.

A.5.15 Access control partial match
mitigates

Access-control rules can be extended to metadata objects, though the control is not metadata-specific.

A.8.11 Data masking partial match
mitigates

Data-masking techniques can obscure sensitive metadata values, providing partial mitigation.

A.8.12 Data leakage prevention partial match
finds

DLP solutions can detect and block metadata leakage, yet are not designed solely for this weakness.

References