Swatadru Exam-Seating-Arrangement up to 97335ccebf95468d92525f4255a2241d2b0b002f Student Login /student.php email sql injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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6.9$0-$5k0.00

Summaryinfo

A vulnerability has been found in Swatadru Exam-Seating-Arrangement up to 97335ccebf95468d92525f4255a2241d2b0b002f and classified as critical. Affected by this vulnerability is an unknown functionality of the file /student.php of the component Student Login. The manipulation of the argument email leads to sql injection. This vulnerability is documented as CVE-2025-9238. The attack can be initiated remotely. Additionally, an exploit exists. Continious delivery with rolling releases is used by this product. Therefore, no version details of affected nor updated releases are available. The vendor was contacted early about this disclosure but did not respond in any way.

Detailsinfo

A vulnerability, which was classified as critical, has been found in Swatadru Exam-Seating-Arrangement up to 97335ccebf95468d92525f4255a2241d2b0b002f. This issue affects an unknown part of the file /student.php of the component Student Login. The manipulation of the argument email 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.

It is possible to read the advisory at gist.github.com. The identification of this vulnerability is CVE-2025-9238. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details as well as a public exploit are known. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

The exploit is available at gist.github.com. It is declared as proof-of-concept. The vendor was contacted early about this disclosure but did not respond in any way. By approaching the search of inurl:student.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.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 7.3
VulDB Meta Temp Score: 6.9

VulDB Base Score: 7.3
VulDB Temp Score: 6.6
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 7.3
CNA Vector: 🔒

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Sql injection
CWE: 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: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

08/20/2025 Advisory disclosed
08/20/2025 +0 days VulDB entry created
08/21/2025 +1 days VulDB entry last update

Sourcesinfo

Advisory: gist.github.com
Status: Not defined

CVE: CVE-2025-9238 (🔒)
GCVE (CVE): GCVE-0-2025-9238
GCVE (VulDB): GCVE-100-320771
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 08/20/2025 13:05
Updated: 08/21/2025 07:52
Changes: 08/20/2025 13:05 (58), 08/21/2025 07:52 (30)
Complete: 🔍
Submitter: 0xSebin
Cache ID: 216::103

Submitinfo

Accepted

  • Submit #631142: GitHub Exam-Seating-Arrangement 1.0 SQL Injection (by 0xSebin)

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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