Cyber Resilience

CVE-2024-13255

Restful Web Services Project Restful Web Services 7.x-2.0 – 7.x-2.10

Published
09 January 2025
Modified
04 June 2025
Patch / advisory
CVSS Score v3.1 7.5
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
EPSS Score 0.0050 41th percentile
Risk Priority 58 floored blend · peak EPSS

Summary

CVE-2024-13255 is a high-severity Exposure of Sensitive Information Through Data Queries (CWE-202) vulnerability in Restful Web Services Project Restful Web Services. Its CVSS base score is 7.5 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Data from Information Repositories (T1213); ranked at the 41th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

The strongest mitigations our analysis identified map to AC-23 (Data Mining Protection) — see the control section below for these in your framework.

Deeper analysis AI-assisted summary

Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.

CVE-2024-13255 is an Exposure of Sensitive Information Through Data Queries vulnerability in the Drupal RESTful Web Services module, enabling forceful browsing. This issue affects RESTful Web Services versions from 7.X-2.0 before 7.X-2.10. The vulnerability is classified under CWE-202 and has a CVSS v3.1 base score of 7.5 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N), indicating high confidentiality impact with no effect on integrity or availability.

Remote attackers require only network access and can exploit the vulnerability without privileges or user interaction due to its low attack complexity. Successful exploitation allows disclosure of sensitive information through crafted data queries targeting the RESTful endpoints.

The Drupal security advisory at https://www.drupal.org/sa-contrib-2024-019 details mitigation steps, with the issue resolved in RESTful Web Services version 7.X-2.10. Site administrators should update to this or later versions to address the vulnerability.

EU & UK References

Vulnerability Data

Exposure of Sensitive Information Through Data Queries vulnerability in Drupal RESTful Web Services allows Forceful Browsing.This issue affects RESTful Web Services: from 7.X-2.0 before 7.X-2.10.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1213 Data from Information Repositories Collection
Adversaries may leverage information repositories to mine valuable information.
T1213.006 Databases Collection
Adversaries may leverage databases to mine valuable information.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2024-2088Shared CWE-202
CVE-2024-20388Shared CWE-202
CVE-2025-29981Shared CWE-202
CVE-2026-33530Shared CWE-202
CVE-2023-20215Shared CWE-202
CVE-2025-64528Shared CWE-202
CVE-2026-30778Shared CWE-202
CVE-2024-38892Shared CWE-202
CVE-2024-38897Shared CWE-202
CVE-2025-69200Shared CWE-202

Affected Assets

restful web services project
restful web services
7.x-2.0 — 7.x-2.10

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

AC-23 directly requires mechanisms to protect against unauthorized data mining and inference from statistical queries that would expose sensitive information.

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.

PR.AA-05 mostly match
prevents

Least-privilege query permissions directly limit the data an attacker can request or infer.

DE.CM-03 partial match
prevents

Behavior analytics on query activity can detect inference attempts but does not prevent exposure at query time.

PR.DS-10 partial match
prevents

Protecting data-in-use reduces what remains available for inference via queries.

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.

prevents

Access control limits who can run queries that could expose sensitive information via inference.

prevents

Granular access rights reduce the ability of users to craft inference queries.

prevents

Data masking prevents inference by obscuring sensitive values returned in query results.

prevents

Information access restriction directly limits query scope that could lead to inference.

mitigates

Classification helps identify sensitive data that must be protected from inference attacks.

finds

DLP can detect and block queries or result sets that risk exposing sensitive information.

References