rankmath Rank Math SEO Plugin up to 1.0.235 on WordPress update_metadata access control

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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4.8$0-$5k0.00

Summaryinfo

A vulnerability, which was classified as critical, has been found in rankmath Rank Math SEO Plugin up to 1.0.235 on WordPress. This impacts the function update_metadata. The manipulation leads to access control. This vulnerability is uniquely identified as CVE-2024-13229. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability was found in rankmath Rank Math SEO Plugin up to 1.0.235 on WordPress. It has been rated as critical. This issue affects the function update_metadata. The manipulation with an unknown input leads to a access control vulnerability. Using CWE to declare the problem leads to CWE-284. The product does not restrict or incorrectly restricts access to a resource from an unauthorized actor. Impacted is integrity, and availability. The summary by CVE is:

The Rank Math SEO – AI SEO Tools to Dominate SEO Rankings plugin for WordPress is vulnerable to unauthorized loss of data due to a missing capability check on the update_metadata() function in all versions up to, and including, 1.0.235. This makes it possible for authenticated attackers, with Contributor-level access and above, to delete any schema metadata assigned to any post.

The weakness was disclosed by Craig Smith. It is possible to read the advisory at wordfence.com. The identification of this vulnerability is CVE-2024-13229 since 01/08/2025. The exploitation is known to be easy. The attack may be initiated remotely. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 02/13/2025). The attack technique deployed by this issue is T1068 according to MITRE ATT&CK.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.9
VulDB Meta Temp Score: 4.8

VulDB Base Score: 5.4
VulDB Temp Score: 5.2
VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA Base Score: 4.3
CNA Vector (Wordfence): 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Access control
CWE: CWE-284 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

01/08/2025 🔍
02/13/2025 +36 days 🔍
02/13/2025 +0 days 🔍
02/13/2025 +0 days 🔍

Sourcesinfo

Advisory: wordfence.com
Researcher: Craig Smith
Status: Not defined

CVE: CVE-2024-13229 (🔍)
GCVE (CVE): GCVE-0-2024-13229
GCVE (VulDB): GCVE-100-295667

Entryinfo

Created: 02/13/2025 08:05
Changes: 02/13/2025 08:05 (65)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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