| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.6 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as critical, has been found in Datalifecms DataLife Engine 8.3. This issue affects some unknown processing. This manipulation of the argument _REQUEST[skin] causes code injection. The identification of this vulnerability is CVE-2010-2005. Furthermore, there is an exploit available.
Details
A vulnerability classified as critical was found in Datalifecms DataLife Engine 8.3. Affected by this vulnerability is an unknown functionality. The manipulation of the argument _REQUEST[skin] 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:
Multiple PHP remote file inclusion vulnerabilities in DataLife Engine (DLE) 8.3 allow remote attackers to execute arbitrary PHP code via a URL in (1) the selected_language parameter to engine/inc/include/init.php, (2) the config[langs] parameter to engine/inc/help.php, (3) the config[lang] parameter to engine/ajax/pm.php, (4) and the _REQUEST[skin] parameter to engine/ajax/addcomments.php.
The weakness was shared 05/20/2010 (Website). It is possible to read the advisory at securityfocus.com. This vulnerability is known as CVE-2010-2005 since 05/20/2010. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details and also a public exploit are known. The attack technique deployed by this issue is T1059 according to MITRE ATT&CK.
It is possible to download the exploit at exploit-db.com. It is declared as proof-of-concept.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The vulnerability is also documented in the databases at X-Force (55757), Exploit-DB (33544) and SecurityFocus (BID 37851†). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.3VulDB Meta Temp Score: 6.6
VulDB Base Score: 7.3
VulDB Temp Score: 6.6
VulDB Vector: 🔍
VulDB Reliability: 🔍
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: 🔍
NVD Base Score: 🔍
Exploiting
Class: Code injectionCWE: CWE-94 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Access: Public
Status: Proof-of-Concept
Download: 🔍
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Exploit-DB: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
01/19/2010 🔍05/20/2010 🔍
05/20/2010 🔍
05/20/2010 🔍
03/19/2015 🔍
03/03/2025 🔍
Sources
Advisory: securityfocus.com⛔Status: Not defined
CVE: CVE-2010-2005 (🔍)
GCVE (CVE): GCVE-0-2010-2005
GCVE (VulDB): GCVE-100-53299
X-Force: 55757 - DataLife Engine multiple scripts file include
SecurityFocus: 37851 - Datalife Engine Multiple Remote File Include Vulnerabilities
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 03/19/2015 12:22Updated: 03/03/2025 12:30
Changes: 03/19/2015 12:22 (47), 01/01/2018 09:49 (6), 03/03/2025 12:30 (25)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
No comments yet. Languages: en.
Please log in to comment.