RiderLike Fruit Crush-Brain App 1.0 on Android com.fruitcrush.fun AndroidManifest.xml improper export of android application components
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.0 | $0-$5k | 0.00 |
Summary
A vulnerability identified as problematic has been detected in RiderLike Fruit Crush-Brain App 1.0 on Android. Affected by this issue is some unknown functionality of the file AndroidManifest.xml of the component com.fruitcrush.fun. This manipulation causes improper export of android application components. The identification of this vulnerability is CVE-2025-8523. The attack can only be executed locally. Furthermore, there is an exploit available. The vendor was contacted early about this disclosure but did not respond in any way.
Details
A vulnerability has been found in RiderLike Fruit Crush-Brain App 1.0 on Android and classified as problematic. Affected by this vulnerability is some unknown functionality of the file AndroidManifest.xml of the component com.fruitcrush.fun. The manipulation with an unknown input leads to a improper export of android application components vulnerability. The CWE definition for the vulnerability is CWE-926. The Android application exports a component for use by other applications, but does not properly restrict which applications can launch the component or access the data it contains. As an impact it is known to affect confidentiality, integrity, and availability.
The advisory is shared at github.com. This vulnerability is known as CVE-2025-8523. The exploitation appears to be easy. An attack has to be approached locally. Technical details and also a public exploit are known.
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:AndroidManifest.xml 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.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Type
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: 5.3VulDB Meta Temp Score: 5.0
VulDB Base Score: 5.3
VulDB Temp Score: 4.8
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 5.3
CNA Vector: 🔒
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Improper export of android application componentsCWE: CWE-926
CAPEC: 🔒
ATT&CK: 🔒
Physical: Partially
Local: Yes
Remote: No
Availability: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒
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
08/04/2025 Advisory disclosed08/04/2025 VulDB entry created
08/05/2025 VulDB entry last update
Sources
Advisory: github.comStatus: Not defined
CVE: CVE-2025-8523 (🔒)
GCVE (CVE): GCVE-0-2025-8523
GCVE (VulDB): GCVE-100-318649
scip Labs: https://www.scip.ch/en/?labs.20130704
Entry
Created: 08/04/2025 08:37Updated: 08/05/2025 07:29
Changes: 08/04/2025 08:37 (58), 08/05/2025 07:29 (30)
Complete: 🔍
Submitter: fxizenta
Cache ID: 216::103
Submit
Accepted
- Submit #619035: RiderLike Fruit Crush-Brain 1.0.0 Task Hijacking (by fxizenta)
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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