Rank Math SEO Plugin up to 1.0.228 on WordPress code injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.1 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Rank Math SEO Plugin up to 1.0.228 on WordPress and classified as critical. Affected is an unknown function. This manipulation causes code injection. The identification of this vulnerability is CVE-2024-9314. It is possible to initiate the attack remotely. There is no exploit available.
Details
A vulnerability classified as critical was found in Rank Math SEO Plugin up to 1.0.228 on WordPress. Affected by this vulnerability is an unknown part. The manipulation with an unknown input leads to a code injection vulnerability. The CWE definition for the vulnerability is CWE-94. The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. As an impact it is known to affect confidentiality, 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 PHP Object Injection in all versions up to, and including, 1.0.228 via deserialization of untrusted input 'set_redirections' function. This makes it possible for authenticated attackers, with Administrator-level access and above, to inject a PHP Object. No known POP chain is present in the vulnerable software. If a POP chain is present via an additional plugin or theme installed on the target system, it could allow the attacker to delete arbitrary files, retrieve sensitive data, or execute code.
The advisory is shared at wordfence.com. This vulnerability is known as CVE-2024-9314 since 09/27/2024. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Neither technical details nor an exploit are publicly available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 10/08/2024). MITRE ATT&CK project uses the attack technique T1059 for this issue.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Type
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.3VulDB Meta Temp Score: 7.1
VulDB Base Score: 7.3
VulDB Temp Score: 7.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 7.2
CNA Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Code injectionCWE: CWE-94 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
09/27/2024 🔍10/05/2024 🔍
10/05/2024 🔍
10/08/2024 🔍
Sources
Advisory: wordfence.comStatus: Not defined
CVE: CVE-2024-9314 (🔍)
GCVE (CVE): GCVE-0-2024-9314
GCVE (VulDB): GCVE-100-279289
Entry
Created: 10/05/2024 08:21Updated: 10/08/2024 08:02
Changes: 10/05/2024 08:21 (51), 10/05/2024 16:23 (10), 10/08/2024 08:02 (1)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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