leiweibau Pi.Alert prior 2026-05-07 exec code injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.4 | $0-$5k | 0.00 |
Summary
A vulnerability was found in leiweibau Pi.Alert. It has been rated as critical. Affected by this issue is the function exec. This manipulation causes code injection.
The identification of this vulnerability is CVE-2026-44887. It is possible to initiate the attack remotely. There is no exploit available.
Upgrading the affected component is advised.
Details
A vulnerability classified as critical was found in leiweibau Pi.Alert. Affected by this vulnerability is the function exec. The manipulation with an unknown input leads to a code injection vulnerability. The CWE definition for the vulnerability is CWE-94. The product constructs all or part of a code segment using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the syntax or behavior of the intended code segment. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
Pi.Alert is a WIFI / LAN intruder detector with web service monitoring. Prior to 2026-05-07, Pi.Alert's web-based configuration editor allows arbitrary Python code to be injected into pialert.conf. Since the background scan daemon loads this file via Python's exec(), injected code executes as the daemon process. With web protection disabled (the default configuration), no authentication is required, making this an unauthenticated Remote Code Execution vulnerability. This vulnerability is fixed in 2026-05-07.
It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-44887 since 05/07/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1059 according to MITRE ATT&CK.
Upgrading to version 2026-05-07 eliminates this vulnerability.
The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2026-32635). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.5VulDB Meta Temp Score: 8.4
VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 9.8
CNA Vector (GitHub_M): 🔒
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: Code injectionCWE: CWE-94 / CWE-74 / CWE-707
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
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: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: Pi.Alert 2026-05-07
Timeline
05/07/2026 CVE reserved05/27/2026 Advisory disclosed
05/27/2026 VulDB entry created
05/28/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CVE: CVE-2026-44887 (🔒)
GCVE (CVE): GCVE-0-2026-44887
GCVE (VulDB): GCVE-100-366499
EUVD: 🔒
Entry
Created: 05/27/2026 21:56Updated: 05/28/2026 02:35
Changes: 05/27/2026 21:56 (63), 05/28/2026 02:35 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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