AI Analysis
Final verdict: SUSPICIOUS
The package has a moderate risk score due to its metadata concerns, despite having low risks in network, shell, obfuscation, and credential areas.
- Metadata risk is high with non-secure links and incomplete author information.
- Repository was recently created, raising suspicion about the legitimacy of the project.
Per-check LLM notes
- Network: The network call pattern indicates the package likely uses HTTP requests for legitimate purposes like API calls or data transmission.
- Shell: No shell execution patterns detected, indicating no immediate risk of unauthorized command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows several red flags including a non-secure link, recent repository creation, and an incomplete author profile, indicating potential risks.
Heuristic Checks
Outbound Network Calls
score 1.5
Found 1 network call pattern(s)
try: async with httpx.AsyncClient(timeout=httpx.Timeout(None, connect=10.0)) as client:
Code Obfuscation
No obfuscation patterns detected
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: izusoft.tech>
Suspicious Page Links
score 2.0
Found 1 suspicious link(s) on the package page
Non-HTTPS external link: http://collector:4317
Git Repository History
score 2.5
Git history flags: Repository created very recently: 4 day(s) ago (2026-06-01T19:52:23Z)
Repository created very recently: 4 day(s) ago (2026-06-01T19:52:23Z)
Maintainer History
score 8.0
4 maintainer concern(s) found
Only one version has ever been released — brand new packagePackage is very new: uploaded 2 day(s) agoAuthor 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 aaep-otel-bridge
Develop a mini-application named 'SREComplianceMonitor' that leverages the 'aaep-otel-bridge' Python package to bridge AAEP event streams into OpenTelemetry traces, thereby enhancing observability for system reliability engineers (SREs) and compliance teams. This application should serve as a real-time monitoring tool, enabling users to track critical events and ensure that their systems comply with predefined standards. Step 1: Set up the environment - Install necessary Python packages including 'aaep-otel-bridge', 'opentelemetry-api', and 'opentelemetry-sdk'. - Configure your development environment to include these packages. Step 2: Define Event Stream Integration - Implement a function that subscribes to AAEP event streams using the 'aaep-otel-bridge' package. - Ensure the function can handle various types of events and extract relevant information such as timestamp, event type, and payload. Step 3: Convert Events to Traces - Utilize the 'aaep-otel-bridge' package to convert collected AAEP events into OpenTelemetry trace spans. - Each span should represent an individual event and include metadata like start time, duration, and tags related to the event's nature and context. Step 4: Visualization and Alerting - Integrate a visualization component that displays the converted traces in a user-friendly dashboard. - Implement alerting mechanisms based on specific conditions defined by the user, such as high frequency of certain event types within a given timeframe. Suggested Features: - Customizable dashboards allowing users to select which event types they wish to monitor. - Historical data storage and analysis capabilities. - Support for exporting trace data to external tools for further processing. - Real-time alerts via email or SMS based on user-defined thresholds. The 'aaep-otel-bridge' package plays a crucial role in facilitating the seamless transition from raw AAEP events to structured OpenTelemetry traces, ensuring that all relevant details are preserved and made accessible for comprehensive analysis.