PHPGurukul Park Ticketing Management System 2.0 POST Request normal-bwdates-reports-details.php todate sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.1 | $0-$5k | 0.00 |
Summary
A vulnerability was found in PHPGurukul Park Ticketing Management System 2.0. It has been rated as critical. Affected is an unknown function of the file normal-bwdates-reports-details.php of the component POST Request Handler. The manipulation of the argument todate leads to sql injection. This vulnerability is referenced as CVE-2025-45020. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability was found in PHPGurukul Park Ticketing Management System 2.0 and classified as critical. This issue affects an unknown function of the file normal-bwdates-reports-details.php of the component POST Request Handler. The manipulation of the argument todate with an unknown input leads to a sql injection vulnerability. Using CWE to declare the problem leads to 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. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
A SQL Injection vulnerability was discovered in the normal-bwdates-reports-details.php file of PHPGurukul Park Ticketing Management System v2.0. This vulnerability allows remote attackers to execute arbitrary SQL code via the todate parameter in a POST request.
It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2025-45020 since 04/22/2025. The exploitation is known to be easy. The attack may be initiated remotely. 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 05/25/2025). The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.
By approaching the search of inurl:normal-bwdates-reports-details.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 vulnerability database at EUVD (EUVD-2025-12720). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
License
Website
- Vendor: https://phpgurukul.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.3VulDB Meta Temp Score: 6.1
VulDB Base Score: 6.3
VulDB Temp Score: 6.1
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: 🔍
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 |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
04/22/2025 🔍04/30/2025 🔍
04/30/2025 🔍
05/25/2025 🔍
Sources
Vendor: phpgurukul.comAdvisory: github.com
Status: Not defined
CVE: CVE-2025-45020 (🔍)
GCVE (CVE): GCVE-0-2025-45020
GCVE (VulDB): GCVE-100-306635
EUVD: 🔍
Entry
Created: 04/30/2025 16:14Updated: 05/25/2025 23:19
Changes: 04/30/2025 16:14 (56), 05/09/2025 15:55 (1), 05/25/2025 23:19 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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