Cyber Resilience

CVE-2024-2343

SSRF in Theme-Fusion Avada ≤ 7.11.7

Public PoCSSRF
Published
09 April 2024
Modified
17 June 2026
CVSS Score v3.1 6.4
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:N
EPSS Score 0.0052 41th percentile
Risk Priority 47 floored blend · peak EPSS

Summary

CVE-2024-2343 is a medium-severity SSRF (CWE-918) vulnerability in Theme-Fusion Avada. Its CVSS base score is 6.4 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 41th 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.

OWASP Top 10 for Web (2025)

A01:2025 Broken Access Control

EU & UK References

Vulnerability Data

The Avada | Website Builder For WordPress & WooCommerce theme for WordPress is vulnerable to Server-Side Request Forgery in all versions up to, and including, 7.11.6 via the form_to_url_action function. This makes it possible for authenticated attackers, with contributor-level access…

more

and above, 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)
CWE-918

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.
attack.mitre.org →
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2023-39313Same product: Theme-Fusion Avada
CVE-2024-2344Same product: Theme-Fusion Avada
CVE-2024-54357Same product: Theme-Fusion Avada
CVE-2022-1386Same product: Theme-Fusion Avada
CVE-2023-39307Same product: Theme-Fusion Avada
CVE-2023-39312Same product: Theme-Fusion Avada
CVE-2024-1468Same product: Theme-Fusion Avada
CVE-2023-39922Same product: Theme-Fusion Avada
CVE-2025-64634Same product: Theme-Fusion Avada
CVE-2024-2311Same product: Theme-Fusion Avada

Affected Assets

theme-fusion
avada
≤ 7.11.7

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

AC-4 Information Flow Enforcement good match

Information flow enforcement can restrict which destinations the server is allowed to contact on behalf of users.

SI-10 Information Input Validation good match

Input validation directly stops untrusted URLs from being accepted and fetched without destination checks.

SC-7 Boundary Protection partial match

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.

A.5.7 Threat intelligence partial match
prevents

Operational threat data describing SSRF campaigns can be used to tighten outbound-request allow-lists and detection rules before attackers exploit them.

References