kiCode111 like-girl 5.2.0 /admin/ImgAddPost.php imgDatd/imgText/imgUrl sql injection

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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5.4$0-$5k0.00

Summaryinfo

A vulnerability was found in kiCode111 like-girl 5.2.0. It has been classified as critical. This affects an unknown function of the file /admin/ImgAddPost.php. This manipulation of the argument imgDatd/imgText/imgUrl causes sql injection. This vulnerability is handled as CVE-2025-6008. The attack can be initiated remotely. Additionally, an exploit exists. The vendor was contacted early about this disclosure but did not respond in any way.

Detailsinfo

A vulnerability has been found in kiCode111 like-girl 5.2.0 and classified as critical. Affected by this vulnerability is an unknown code block of the file /admin/ImgAddPost.php. The manipulation of the argument imgDatd/imgText/imgUrl with an unknown input leads to a sql injection vulnerability. The CWE definition for the vulnerability is 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. As an impact it is known to affect confidentiality, integrity, and availability.

It is possible to read the advisory at github.com. This vulnerability is known as CVE-2025-6008. The exploitation appears to be easy. The attack can be launched remotely. The exploitation needs additional levels of successful authentication. Technical details and also a public exploit are known. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

It is possible to download the exploit 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. By approaching the search of inurl:admin/ImgAddPost.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-2025-18147). 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: 5.5
VulDB Meta Temp Score: 5.4

VulDB Base Score: 4.7
VulDB Temp Score: 4.3
VulDB Vector: 🔒
VulDB Reliability: 🔍

NVD Base Score: 7.2
NVD Vector: 🔒

CNA Base Score: 4.7
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

06/11/2025 Advisory disclosed
06/11/2025 +0 days VulDB entry created
06/19/2025 +8 days VulDB entry last update

Sourcesinfo

Advisory: github.com
Status: Not defined

CVE: CVE-2025-6008 (🔒)
GCVE (CVE): GCVE-0-2025-6008
GCVE (VulDB): GCVE-100-312331
EUVD: 🔒
scip Labs: https://www.scip.ch/en/?labs.20161013

Entryinfo

Created: 06/11/2025 20:58
Updated: 06/19/2025 11:01
Changes: 06/11/2025 20:58 (56), 06/12/2025 09:41 (30), 06/12/2025 12:36 (1), 06/12/2025 13:37 (1), 06/19/2025 11:01 (11)
Complete: 🔍
Submitter: kai_kk
Cache ID: 216::103

Submitinfo

Accepted

  • Submit #588088: https://gitee.com/kiCode111/like-girl-v5.2.0 like-girl-v5.2.0 5.2.0 SQL Injection (by kai_kk)

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

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