Cyber Resilience

CVE-2024-51665

SSRF in Wpthemespace Magical Addons For Elementor ≤ 1.2.3

Published
04 November 2024
Modified
23 April 2026
CVSS Score v3.1 4.9
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:L/I:L/A:N
EPSS Score 0.0057 44th percentile
Risk Priority 55 floored blend · peak EPSS

Summary

CVE-2024-51665 is a medium-severity SSRF (CWE-918) vulnerability in Wpthemespace Magical Addons For Elementor. Its CVSS base score is 4.9 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 44th 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.

The vulnerability is a Server-Side Request Forgery (SSRF) flaw, tracked as CVE-2024-51665 with CWE-918, in the Magical Addons For Elementor WordPress plugin by Noor Alam. It affects all versions through 1.2.1 and carries a CVSS 3.1 score of 4.9.

An authenticated attacker with low privileges can exploit the issue remotely, though the attack requires high complexity. Successful exploitation allows the attacker to induce the server into making unauthorized requests, resulting in limited impacts to confidentiality and integrity within a changed security scope.

The Patchstack advisory at the referenced URL documents the SSRF vulnerability in the plugin and is the primary source for details on affected versions and remediation steps. The EPSS score has remained steady at 0.3538 with no material increase observed after disclosure.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

Server-Side Request Forgery (SSRF) vulnerability in Noor Alam Magical Addons For Elementor magical-addons-for-elementor allows Server Side Request Forgery.This issue affects Magical Addons For Elementor: from n/a through <= 1.2.1.

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-2024-38730Same product: Wpthemespace Magical Addons For Elementor
CVE-2024-5161Same product: Wpthemespace Magical Addons For Elementor
CVE-2024-2923Same product: Wpthemespace Magical Addons For Elementor
CVE-2024-34547Same product: Wpthemespace Magical Addons For Elementor
CVE-2024-38681Same product: Wpthemespace Magical Addons For Elementor
CVE-2024-54212Same product: Wpthemespace Magical Addons For Elementor
CVE-2024-10352Same product: Wpthemespace Magical Addons For Elementor
CVE-2024-22134Same product class: WordPress / CMS plugin
CVE-2025-5817Same product class: WordPress / CMS plugin
CVE-2025-1912Same product class: WordPress / CMS plugin

Affected Assets

wpthemespace
magical addons for elementor
≤ 1.2.3

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