Ola Lasisi e-ticketing Login loginscript.php Password sql injection
| 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 Ola Lasisi e-ticketing. This affects an unknown part of the file loginscript.php of the component Login. Performing a manipulation of the argument Password results in sql injection. This vulnerability is cataloged as CVE-2012-1673. It is possible to initiate the attack remotely. Furthermore, there is an exploit available.
Details
A vulnerability classified as critical has been found in Ola Lasisi e-ticketing (Ticket Tracking Software) (affected version unknown). This affects an unknown functionality of the file loginscript.php of the component Login. The manipulation of the argument password 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 loginscript.php in e-ticketing allows remote attackers to execute arbitrary SQL commands via the password parameter.
The weakness was shared 04/11/2012 (Website). It is possible to read the advisory at exploit-db.com. This vulnerability is uniquely identified as CVE-2012-1673 since 03/16/2012. 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 and a public exploit are known. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.
The exploit is shared for download at exploit-db.com. It is declared as proof-of-concept. By approaching the search of inurl:loginscript.php it is possible to find vulnerable targets with Google Hacking.
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 (74613), Exploit-DB (18700), SecurityFocus (BID 52878†) and OSVDB (80941†). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
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 |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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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: 🔍
Access: Public
Status: Proof-of-Concept
Download: 🔍
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 |
Exploit-DB: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
03/16/2012 🔍04/04/2012 🔍
04/11/2012 🔍
04/11/2012 🔍
03/23/2015 🔍
01/03/2025 🔍
Sources
Advisory: exploit-db.comStatus: Not defined
CVE: CVE-2012-1673 (🔍)
GCVE (CVE): GCVE-0-2012-1673
GCVE (VulDB): GCVE-100-60579
X-Force: 74613
SecurityFocus: 52878 - e-ticketing 'loginscript.php' Multiple SQL Injection Vulnerabilities
OSVDB: 80941
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 03/23/2015 16:50Updated: 01/03/2025 17:33
Changes: 03/23/2015 16:50 (54), 03/15/2019 19:32 (4), 01/03/2025 17:33 (20)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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