Cyber Resilience

CVE-2024-56800

SSRF

Published
30 December 2024
Modified
15 April 2026
CVSS Score v3.1 7.4
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:L/A:L
EPSS Score 0.0035 27th percentile
Risk Priority 52 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-2024-56800 is a high-severity SSRF (CWE-918) vulnerability. Its CVSS base score is 7.4 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 27th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.

This vulnerability is AI-related — categorised as LLM Application Platforms; in the Privacy and Disclosure risk domain.

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.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

Firecrawl is a web scraper that allows users to extract the content of a webpage for a large language model. Versions prior to 1.1.1 contain a server-side request forgery (SSRF) vulnerability. The scraping engine could be exploited by crafting a…

more

malicious site that redirects to a local IP address. This allowed exfiltration of local network resources through the API. The cloud service was patched on December 27th, 2024, and the maintainers have checked that no user data was exposed by this vulnerability. Scraping engines used in the open sourced version of Firecrawl were patched on December 29th, 2024, except for the playwright services which the maintainers have determined to be un-patchable. All users of open-source software (OSS) Firecrawl should upgrade to v1.1.1. As a workaround, OSS Firecrawl users should supply the playwright services with a secure proxy. A proxy can be specified through the `PROXY_SERVER` env in the environment variables. Please refer to the documentation for instructions. Ensure that the proxy server one is using is setup to block all traffic going to link-local IP addresses.

CWE(s)

AI Security AnalysisAI

AI Category
LLM Application Platforms
Risk Domain
Privacy and Disclosure
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
Firecrawl is a web scraping API/service explicitly designed to extract webpage content for large language models (LLMs), making it an AI-related API for model data ingestion.

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-2026-31829Shared CWE-918
CVE-2024-10044Shared CWE-918
CVE-2026-45019Shared CWE-918
CVE-2026-54018Shared CWE-918
CVE-2026-31945Shared CWE-918
CVE-2026-31943Shared CWE-918
CVE-2026-35486Shared CWE-918
CVE-2026-61646Shared CWE-918
CVE-2024-12775Shared CWE-918
CVE-2026-3340Shared CWE-918

Affected Assets

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