WillyXJ facileManager up to 4.5.0 Parameter admin-logs.php extract $_REQUEST sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.4 | $0-$5k | 0.00 |
Summary
A vulnerability was found in WillyXJ facileManager up to 4.5.0. It has been classified as critical. The impacted element is the function extract of the file admin-logs.php of the component Parameter Handler. This manipulation of the argument $_REQUEST causes sql injection.
This vulnerability appears as CVE-2024-24572. The attack may be initiated remotely. There is no available exploit.
To fix this issue, it is recommended to deploy a patch.
Details
A vulnerability classified as critical was found in WillyXJ facileManager up to 4.5.0. Affected by this vulnerability is the function extract of the file admin-logs.php of the component Parameter Handler. The manipulation of the argument $_REQUEST with an unknown input leads to a sql injection vulnerability. The CWE definition for the vulnerability is CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
facileManager is a modular suite of web apps built with the sysadmin in mind. In versions 4.5.0 and earlier, the $_REQUEST global array was unsafely called inside an extract() function in admin-logs.php. The PHP file fm-init.php prevents arbitrary manipulation of $_SESSION via the GET/POST parameters. However, it does not prevent manipulation of any other sensitive variables such as $search_sql. Knowing this, an authenticated user with privileges to view site logs can manipulate the search_sql variable by appending a GET parameter search_sql in the URL. The information above means that the checks and SQL injection prevention attempts were rendered unusable.
The weakness was presented 02/01/2024 as GHSA-xw34-8pj6-75gc. It is possible to read the advisory at github.com. This vulnerability is known as CVE-2024-24572 since 01/25/2024. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.
By approaching the search of inurl:admin-logs.php it is possible to find vulnerable targets with Google Hacking.
Applying the patch 0aa850d4b518f10143a4c675142b15caa5872877 is able to eliminate this problem. The bugfix is ready for download at github.com.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
License
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.6VulDB Meta Temp Score: 5.4
VulDB Base Score: 4.7
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 6.5
CNA Vector (GitHub, Inc.): 🔍
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Sql injectionCWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
Google Hack: 🔍
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: PatchStatus: 🔍
0-Day Time: 🔍
Patch: 0aa850d4b518f10143a4c675142b15caa5872877
Timeline
01/25/2024 🔍02/01/2024 🔍
02/01/2024 🔍
02/01/2024 🔍
Sources
Product: github.comAdvisory: GHSA-xw34-8pj6-75gc
Status: Not defined
CVE: CVE-2024-24572 (🔍)
GCVE (CVE): GCVE-0-2024-24572
GCVE (VulDB): GCVE-100-252523
Entry
Created: 02/01/2024 06:56Changes: 02/01/2024 06:56 (55)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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