Raw vector
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:L/A:NSummary
CVE-2025-1970 is a high-severity SSRF (CWE-918) vulnerability in Webtoffee Import Export Wordpress Users. Its CVSS base score is 7.6 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 32th 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-2025-1970 is a Server-Side Request Forgery (SSRF) vulnerability, classified under CWE-918, in the Export and Import Users and Customers plugin for WordPress. It affects all versions up to and including 2.6.2, specifically via the validate_file() function in the plugin's admin/modules/import/classes/class-import-ajax.php file at line 175. Published on 2025-03-22, the flaw has a CVSS v3.1 base score of 7.6 (AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:L/A:N), reflecting high severity due to network accessibility, low complexity, high privileges required, no user interaction, changed scope, high confidentiality impact, low integrity impact, and no availability impact.
Authenticated attackers possessing Administrator-level access or higher can exploit this vulnerability to originate web requests from the web application to arbitrary locations. This enables querying and modifying information from internal services that are not externally accessible, potentially bypassing network restrictions and exposing sensitive backend resources.
Advisories and references, including Wordfence's threat intelligence report, point to mitigation through patching, with WordPress plugin trac changeset 3259688 addressing the issue. Security practitioners should review the plugin's developer documentation and update affected installations promptly.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-7281
Vulnerability Data
The Export and Import Users and Customers plugin for WordPress is vulnerable to Server-Side Request Forgery in all versions up to, and including, 2.6.2 via the validate_file() function. This makes it possible for authenticated attackers, with Administrator-level access and above,…
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to make web requests to arbitrary locations originating from the web application and can be used to query and modify information from internal services.
- 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.