CVE-2026-39362
SSRF in Inventree Project Inventree ≤ 1.2.7
Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:N/SC:L/SI:L/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:XSummary
CVE-2026-39362 is a medium-severity SSRF (CWE-918) vulnerability in Inventree Project Inventree. Its CVSS base score is 5.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 14th 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-2026-39362 is a server-side request forgery (SSRF) vulnerability, classified under CWE-918, affecting InvenTree, an open-source inventory management system. The issue impacts versions prior to 1.2.7 and 1.3.0 when the opt-in configuration INVENTREE_DOWNLOAD_FROM_URL is enabled. In this scenario, authenticated users can supply remote_image URLs that the server fetches using requests.get(), which relies solely on Django's URLValidator for validation. There is no check against private IP ranges or internal hostnames, and the request follows redirects (allow_redirects=True), allowing attackers to bypass URL-format restrictions.
An attacker with authenticated access (low privileges required) can exploit this over the network with low complexity and no user interaction. By crafting malicious remote_image URLs, they can trick the server into making unauthorized requests to internal resources, potentially leading to low confidentiality impact through information disclosure and high integrity impact by manipulating server-side fetches, such as accessing internal services or bypassing access controls via redirects. The CVSS v3.1 base score is 7.1 (AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:H/A:N).
The vulnerability is addressed in InvenTree versions 1.2.7 and 1.3.0, which introduce proper validation to prevent SSRF. Additional details are available in the GitHub security advisory at https://github.com/inventree/InvenTree/security/advisories/GHSA-m9j7-jw3m-fr22. Security practitioners should ensure INVENTREE_DOWNLOAD_FROM_URL is disabled unless necessary and upgrade affected instances promptly.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-20596
Vulnerability Data
InvenTree is an Open Source Inventory Management System. Prior to 1.2.7 and 1.3.0, when INVENTREE_DOWNLOAD_FROM_URL is enabled (opt-in), authenticated users can supply remote_image URLs that are fetched server-side via requests.get() with only Django's URLValidator check. There is no validation against…
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private IP ranges or internal hostnames. Redirects are followed (allow_redirects=True), enabling bypass of any URL-format checks. This vulnerability is fixed in 1.2.7 and 1.3.0.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
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.
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.
Operational threat data describing SSRF campaigns can be used to tighten outbound-request allow-lists and detection rules before attackers exploit them.