JobSearch WP Job Board Plugin up to 2.8.4/2.8.8 on WordPress improper authentication
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.6 | $0-$5k | 0.00 |
Summary
A vulnerability was found in JobSearch WP Job Board Plugin up to 2.8.4/2.8.8 on WordPress. It has been classified as critical. This impacts the function jobsearch_xing_response_data_callback/set_access_tokes/google_callback. The manipulation leads to improper authentication.
This vulnerability is uniquely identified as CVE-2024-11917. The attack is possible to be carried out remotely. No exploit exists.
Details
A vulnerability, which was classified as critical, has been found in JobSearch WP Job Board Plugin up to 2.8.4/2.8.8 on WordPress. This issue affects the function jobsearch_xing_response_data_callback/set_access_tokes/google_callback. The manipulation with an unknown input leads to a improper authentication vulnerability. Using CWE to declare the problem leads to CWE-287. When an actor claims to have a given identity, the product does not prove or insufficiently proves that the claim is correct. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
The JobSearch WP Job Board plugin for WordPress is vulnerable to authentication bypass in all versions up to, and including, 2.8.8. This is due to improper configurations in the 'jobsearch_xing_response_data_callback', 'set_access_tokes', and 'google_callback' functions. This makes it possible for unauthenticated attackers to log in as the first connected Xing user, or any connected Xing user if the Xing id is known. It is also possible for unauthenticated attackers to log in as the first connected Google user if the user has logged in, without subsequently logging out, in thirty days. The vulnerability was partially patched in version 2.8.4.
It is possible to read the advisory at wordfence.com. The identification of this vulnerability is CVE-2024-11917 since 11/27/2024. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. 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 04/25/2025).
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.
Product
Type
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.7VulDB Meta Temp Score: 7.6
VulDB Base Score: 7.3
VulDB Temp Score: 7.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 8.1
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: Improper authenticationCWE: CWE-287
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
11/27/2024 🔍04/25/2025 🔍
04/25/2025 🔍
04/25/2025 🔍
Sources
Advisory: wordfence.comStatus: Not defined
CVE: CVE-2024-11917 (🔍)
GCVE (CVE): GCVE-0-2024-11917
GCVE (VulDB): GCVE-100-306227
Entry
Created: 04/25/2025 06:59Updated: 04/25/2025 15:17
Changes: 04/25/2025 06:59 (52), 04/25/2025 14:39 (12), 04/25/2025 15:17 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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