CVE-2025-25301
SSRF in Danielgatis Rembg ≤ 2.0.57
Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:N/SC:L/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-2025-25301 is a medium-severity SSRF (CWE-918) vulnerability in Danielgatis Rembg. Its CVSS base score is 6.9 (Medium).
Operationally, ranked at the 44th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
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-2025-25301 is an information disclosure vulnerability in Rembg, a tool for removing image backgrounds, affecting versions 2.0.57 and earlier. The issue stems from the /api/remove endpoint, which accepts a URL query parameter to fetch, process, and return an image. An attacker can supply an internal network URL via this parameter, causing the rembg server to retrieve and expose images hosted on its internal network. This flaw is classified as CWE-918 (Server-Side Request Forgery) with 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.
Any unauthenticated remote attacker with network access to the rembg server can exploit this vulnerability. By crafting a request to the /api/remove endpoint with a URL pointing to an internal resource, such as a private image server, the attacker tricks the server into fetching the image, processing it for background removal, and returning the result. This enables unauthorized viewing of sensitive internal images without requiring privileges or user interaction.
The GitHub Security Lab advisory (GHSL-2024-161 and GHSL-2024-162) provides further details on this vulnerability at https://securitylab.github.com/advisories/GHSL-2024-161_GHSL-2024-162_rembg/. Security practitioners should consult this reference for recommended mitigations and patches.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-6006
Vulnerability Data
Rembg is a tool to remove images background. In Rembg 2.0.57 and earlier, the /api/remove endpoint takes a URL query parameter that allows an image to be fetched, processed and returned. An attacker may be able to query this endpoint…
more
to view pictures hosted on the internal network of the rembg server. This issue may lead to Information Disclosure.
- CWE(s)
Related Threats
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.3.6V1.5.3V5.3.2V10.4.7
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.
Secure development practices directly include input validation and destination allow-listing that prevent SSRF.
Runtime monitoring of web applications and services can detect anomalous outbound requests indicative of SSRF.
Vulnerability identification processes can discover and record SSRF flaws in web applications.
Network segmentation and egress controls can limit the damage from successful SSRF requests.