AlanBinu007 Spring-Boot-Advanced-Projects up to 3.1.3 Upload Profile API Endpoint UserProfileController.java uploadUserProfileImage File path traversal

Summaryinfo

A vulnerability classified as critical has been found in AlanBinu007 Spring-Boot-Advanced-Projects up to 3.1.3. Impacted is the function uploadUserProfileImage of the file /Spring-Boot-Advanced-Projects-main/Project-4.SpringBoot-AWS-S3/backend/src/main/java/com/urunov/profile/UserProfileController.java of the component Upload Profile API Endpoint. Performing a manipulation of the argument File results in path traversal. This vulnerability is known as CVE-2025-4175. Remote exploitation of the attack is possible. Furthermore, an exploit is available. The vendor was contacted early about this disclosure but did not respond in any way.

Detailsinfo

A vulnerability, which was classified as critical, was found in AlanBinu007 Spring-Boot-Advanced-Projects up to 3.1.3. This affects the function uploadUserProfileImage of the file /Spring-Boot-Advanced-Projects-main/Project-4.SpringBoot-AWS-S3/backend/src/main/java/com/urunov/profile/UserProfileController.java of the component Upload Profile API Endpoint. The manipulation of the argument file with an unknown input leads to a path traversal vulnerability. CWE is classifying the issue as CWE-22. The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory. This is going to have an impact on confidentiality, integrity, and availability.

It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2025-4175. The exploitability is told to be easy. It is possible to initiate the attack remotely. Technical details and a public exploit are known. The attack technique deployed by this issue is T1006 according to MITRE ATT&CK.

The exploit is shared for download at github.com. It is declared as proof-of-concept. The vendor was contacted early about this disclosure but did not respond in any way.

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

Type

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: 6.3
VulDB Meta Temp Score: 6.0

VulDB Base Score: 6.3
VulDB Temp Score: 5.7
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 6.3
CNA Vector: 🔒

CVSSv2info

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

Exploitinginfo

Class: Path traversal
CWE: CWE-22
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: 🔒

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

05/01/2025 Advisory disclosed
05/01/2025 +0 days VulDB entry created
05/10/2025 +9 days VulDB entry last update

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2025-4175 (🔒)
GCVE (CVE): GCVE-0-2025-4175
GCVE (VulDB): GCVE-100-306795
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 05/01/2025 14:34
Updated: 05/10/2025 12:13
Changes: 05/01/2025 14:34 (59), 05/02/2025 10:45 (30), 05/10/2025 07:21 (1), 05/10/2025 12:13 (1)
Complete: 🔍
Submitter: ShenxiuSecurity
Committer: ShenxiuSecurity
Cache ID: 216::103

Submitinfo

Accepted

  • Submit #561760: AlanBinu007 Spring-Boot-Advanced-Projects v3.1.3 Path Traversal (by ShenxiuSecurity)

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

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