alienator88 Pearcleaner up to 4.5.1 XPC Service os command injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.4 | $0-$5k | 0.00 |
Summary
A vulnerability was found in alienator88 Pearcleaner up to 4.5.1. It has been classified as critical. This impacts an unknown function of the component XPC Service. This manipulation causes os command injection. This vulnerability is tracked as CVE-2025-54595. The attack is restricted to local execution. No exploit exists. Upgrading the affected component is recommended.
Details
A vulnerability classified as critical was found in alienator88 Pearcleaner up to 4.5.1. Affected by this vulnerability is an unknown code block of the component XPC Service. The manipulation with an unknown input leads to a os command injection vulnerability. The CWE definition for the vulnerability is CWE-78. The product constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS command when it is sent to a downstream component. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
Pearcleaner is a free, source-available and fair-code licensed mac app cleaner. The PearcleanerHelper is a privileged helper tool bundled with the Pearcleaner application. It is registered and activated only after the user approves a system prompt to allow privileged operations. Upon approval, the helper is configured as a LaunchDaemon and runs with root privileges. In versions 4.4.0 through 4.5.1, the helper registers an XPC service (com.alienator88.Pearcleaner.PearcleanerHelper) and accepts unauthenticated connections from any local process. It exposes a method that executes arbitrary shell commands. This allows any local unprivileged user to escalate privileges to root once the helper is approved and active. This issue is fixed in version 4.5.2.
It is possible to read the advisory at github.com. This vulnerability is known as CVE-2025-54595 since 07/25/2025. The exploitation appears to be easy. Attacking locally is a requirement. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1202 according to MITRE ATT&CK.
Upgrading to version 4.5.2 eliminates this vulnerability. The upgrade is hosted for download at github.com. Applying the patch 69afadfa95791cb998118ca35c227007b230b984 is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
License
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.6VulDB Meta Temp Score: 7.4
VulDB Base Score: 7.8
VulDB Temp Score: 7.5
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 7.3
CNA Vector (GitHub_M): 🔒
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Os command injectionCWE: CWE-78 / CWE-77 / CWE-74
CAPEC: 🔒
ATT&CK: 🔒
Physical: Partially
Local: Yes
Remote: Partially
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: Pearcleaner 4.5.2
Patch: 69afadfa95791cb998118ca35c227007b230b984
Timeline
07/25/2025 CVE reserved08/01/2025 Advisory disclosed
08/01/2025 VulDB entry created
08/05/2025 VulDB entry last update
Sources
Product: github.comAdvisory: 278
Status: Confirmed
CVE: CVE-2025-54595 (🔒)
GCVE (CVE): GCVE-0-2025-54595
GCVE (VulDB): GCVE-100-318547
Entry
Created: 08/01/2025 22:43Updated: 08/05/2025 01:47
Changes: 08/01/2025 22:43 (68), 08/05/2025 01:47 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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