AI Analysis
Final verdict: SUSPICIOUS
The package exhibits high obfuscation risk and concerns over metadata due to an incomplete maintainer profile, suggesting potential malicious intent but lacking concrete evidence of harmful activity.
- High obfuscation risk (7/10)
- Incomplete maintainer metadata
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package requires external services.
- Shell: No shell execution detected, indicating no direct system command invocation.
- Obfuscation: The observed patterns strongly suggest obfuscation techniques which may be used to hide code or data, indicating potential risk.
- Credentials: No clear patterns indicative of credential harvesting were found.
- Metadata: The maintainer has a new or inactive account with incomplete information, raising some suspicion but not conclusive evidence of malice.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
score 10.0
Found 6 obfuscation pattern(s)
xb1\x8c\xc2\x9dv\xbe\xbe\xaf\ \xaa\xdd\xca\xf7\x1f\x1f\x1f\xbd\xa4\x11zy\xb1\xf1\xdf:\ \xae\x0b=\xcb\x87\xcdW\x8e\xe3\x80\xdb\xac\1\xdf:\ \xae\x0b=\xcb\x87\xcdW\x8e\xe3\x80\xdb\xac\x5c\xc5\xd1\xcd\ \xa2\xd1\xdf\xed\x8b\xd4\xea\xc5\x91\xafS\xbd\xd5YU\xfa\ \\x80\xdb\xac\x5c\xc5\xd1\xcd\ \xa2\xd1\xdf\xed\x8b\xd4\xea\xc5\x91\xafS\xbd\xd5YU\xfa\ \xd8\xc3\xfe\xa2W\x8fz\xf5\xc88O\x1et\x94o\\x22!\x8f\x92Z\xb5\ 1<lb|\xdc+\xce\xa3\xbb\xb0\x84\x81\xfa\xf7\xf9\ V\xfb\xbf'\xdbm\x18\xf9e\x11\xf9\xd1C\xe9\x03\xf9\ 6\xb9\xe\x08\xf3;m\xfc\x94\ \xe7\xdb~\x91\xee\xc9\x02\xe0\xb8\x98\x00\x15\x11\x12b\xd2\ j\x16\x1b\x00E\x05\x1dK\xfb\xb6}Q@\x80\xdd4\ <j\x98\xxa2\xcfp#/\xe5\xc6\xc0\ &\x02,\xd9\x8c\x1b\x02\x1b\xbe\x8b\xc1\x06\xc9OII\ $\x9euD.5\x1fB=\x85\xa4\x18\xd4MC7\ \xaf\xa3\xc13np \x8
Shell / Subprocess Execution
No shell execution patterns detected
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: nyu.edu>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository davidgrier/QVideo appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with QVideo
Create a real-time surveillance system mini-app using the QVideo Python package. This application will allow users to monitor live video feeds from multiple cameras simultaneously. The app should include features such as camera selection, zooming in/out on specific areas of interest, and saving snapshots of the live feed. Additionally, implement a simple alert system that triggers notifications when motion is detected in the video stream. Use the QVideo package to handle the integration and management of the video streams, ensuring smooth and efficient operation. Detail each step of the development process, including setting up the environment, configuring the cameras, implementing the user interface, and adding the motion detection feature.