| 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 Ruperts News. The affected element is an unknown function of the file login.php of the component Login. Performing a manipulation of the argument Username results in sql injection. This vulnerability was named CVE-2006-2135. The attack may be initiated remotely. There is no available exploit.
Details
A vulnerability was found in Ruperts News (affected version unknown). It has been classified as critical. This affects an unknown functionality of the file login.php of the component Login. The manipulation of the argument username with an unknown input leads to a sql injection vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
SQL injection vulnerability in login.php in Ruperts News allows remote attackers to execute arbitrary SQL commands via the username parameter.
The weakness was presented 05/02/2006 by Aliaksandr Hartsuyeu (Website). It is possible to read the advisory at vupen.com. This vulnerability is uniquely identified as CVE-2006-2135 since 05/01/2006. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. 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.
It is declared as proof-of-concept. By approaching the search of inurl:login.php it is possible to find vulnerable targets with Google Hacking.
The vulnerability is also documented in the databases at X-Force (26144), SecurityFocus (BID 17758†) and Secunia (SA19895†). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Name
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 |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Sql injectionCWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Proof-of-Concept
Google Hack: 🔍
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
05/01/2006 🔍05/01/2006 🔍
05/01/2006 🔍
05/02/2006 🔍
05/02/2006 🔍
03/12/2015 🔍
09/07/2017 🔍
Sources
Advisory: vupen.com⛔Researcher: Aliaksandr Hartsuyeu
Status: Confirmed
CVE: CVE-2006-2135 (🔍)
GCVE (CVE): GCVE-0-2006-2135
GCVE (VulDB): GCVE-100-30003
X-Force: 26144 - Ruperts News Script login.php SQL injection
SecurityFocus: 17758 - Ruperts News Script Login.PHP SQL Injection Vulnerability
Secunia: 19895 - Ruperts News Script "username" SQL Injection, Moderately Critical
Vupen: ADV-2006-1580
Entry
Created: 03/12/2015 12:19Updated: 09/07/2017 08:40
Changes: 03/12/2015 12:19 (51), 09/07/2017 08:40 (8)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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