jerryshensjf JPACookieShop 蛋糕商城JPA版 up to 24a15c02b4f75042c9f7f615a3fed2ec1cefb999 AdminTypeCustController.java cross-site request forgery
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.1 | $0-$5k | 0.00 |
Summary
A vulnerability marked as problematic has been reported in jerryshensjf JPACookieShop 蛋糕商城JPA版 up to 24a15c02b4f75042c9f7f615a3fed2ec1cefb999. Affected is an unknown function of the file AdminTypeCustController.java. Performing a manipulation results in cross-site request forgery. This vulnerability is identified as CVE-2025-8223. 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.
Details
A vulnerability, which was classified as problematic, was found in jerryshensjf JPACookieShop 蛋糕商城JPA版 up to 24a15c02b4f75042c9f7f615a3fed2ec1cefb999. This affects an unknown code of the file AdminTypeCustController.java. The manipulation with an unknown input leads to a cross-site request forgery vulnerability. CWE is classifying the issue as CWE-352. The web application does not, or can not, sufficiently verify whether a well-formed, valid, consistent request was intentionally provided by the user who submitted the request. This is going to have an impact on integrity.
It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2025-8223. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. Technical details and a public exploit are known.
The exploit is shared for download at github.com. It is declared as proof-of-concept.
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-2025-22811). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 4.3VulDB Meta Temp Score: 4.1
VulDB Base Score: 4.3
VulDB Temp Score: 3.9
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 4.3
CNA Vector: 🔒
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 |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Cross-site request forgeryCWE: CWE-352 / CWE-862 / CWE-863
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: 🔒
| 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
07/26/2025 Advisory disclosed07/26/2025 VulDB entry created
11/01/2025 VulDB entry last update
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2025-8223 (🔒)
GCVE (CVE): GCVE-0-2025-8223
GCVE (VulDB): GCVE-100-317811
EUVD: 🔒
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 07/26/2025 11:42Updated: 11/01/2025 05:13
Changes: 07/26/2025 11:42 (55), 07/27/2025 07:53 (30), 07/27/2025 21:03 (1), 11/01/2025 05:13 (1)
Complete: 🔍
Submitter: HJAQiang
Cache ID: 216::103
Submit
Accepted
- Submit #621787: Gitee jerryshensjf JPACookieShop 蛋糕商城JPA版 1.0 Cross-Site Request Forgery (by HJAQiang)
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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