Cyber Resilience

CVE-2024-25181

SSRF in Vvvebjs ≤ 1.7.4

Published
29 December 2025
Modified
07 January 2026
CVSS Score v3.1 9.1
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:H/A:N
EPSS Score 0.0028 20th percentile
Risk Priority 66 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2024-25181 is a critical-severity SSRF (CWE-918) vulnerability in Vvveb Vvvebjs. Its CVSS base score is 9.1 (Critical).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 20th 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-4 (Information Flow Enforcement) and SI-10 (Information Input Validation) — 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-2024-25181 is a critical vulnerability in givanz VvvebJs version 1.7.2 that enables both Server-Side Request Forgery (SSRF) and arbitrary file reading. The flaw originates from improper handling of user-supplied URLs passed to the file_get_contents function within the save.php file. It carries a CVSS v3.1 base score of 9.1 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N) and maps to CWE-918 (Server-Side Request Forgery).

The vulnerability can be exploited by a remote, unauthenticated attacker requiring no user interaction and low attack complexity. Exploitation allows the attacker to trigger SSRF, potentially accessing internal network resources, and to read arbitrary files on the server, resulting in high impacts to confidentiality and integrity.

Advisories and further technical details are available in the referenced GitHub gist at https://gist.github.com/joaoviictorti/69cbae23d98fb9a1a4b3eee0c305c7de.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

A critical vulnerability has been identified in givanz VvvebJs 1.7.2, which allows both Server-Side Request Forgery (SSRF) and arbitrary file reading. The vulnerability stems from improper handling of user-supplied URLs in the "file_get_contents" function within the "save.php" file.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise Techniques

T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2024-25183Same product: Vvveb Vvvebjs
CVE-2025-8522Same product: Vvveb Vvvebjs
CVE-2024-27480Same product: Vvveb Vvvebjs
CVE-2024-29272Same product: Vvveb Vvvebjs
CVE-2024-25182Same product: Vvveb Vvvebjs
CVE-2024-29271Same product: Vvveb Vvvebjs
CVE-2025-8520Same vendor: Vvveb
CVE-2025-12203Same vendor: Vvveb
CVE-2025-13096Shared CWE-918
CVE-2026-67311Shared CWE-918

Affected Assets

vvveb
vvvebjs
≤ 1.7.4

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)

Validate
Prove the fix (OWASP ASVS)
  • V1.3.6
  • V1.5.3
  • V5.3.2
  • V10.4.7

Mitigating Controls (NIST 800-53 r5) AI

Information flow enforcement can restrict which destinations the server is allowed to contact on behalf of users.

Input validation directly stops untrusted URLs from being accepted and fetched without destination checks.

Boundary protection limits the network reach of server-initiated requests even if SSRF occurs.

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.PS-06 mostly match
prevents

Secure development practices directly include input validation and destination allow-listing that prevent SSRF.

DE.CM-09 partial match
prevents

Runtime monitoring of web applications and services can detect anomalous outbound requests indicative of SSRF.

ID.RA-01 partial match
prevents

Vulnerability identification processes can discover and record SSRF flaws in web applications.

PR.IR-01 partial match
prevents

Network segmentation and egress controls can limit the damage from successful SSRF requests.

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

Operational threat data describing SSRF campaigns can be used to tighten outbound-request allow-lists and detection rules before attackers exploit them.

References