AI Analysis
Final verdict: SAFE
The package appears to be designed for legitimate use with no evident malicious behavior. However, its low maintenance level and lack of transparency raise some concerns.
- Low maintenance and potential lack of transparency
- No direct evidence of malicious activities
Per-check LLM notes
- Network: The use of aiohttp for network calls with configurable timeouts is common and does not inherently suggest malicious activity.
- Shell: No shell execution patterns were detected, indicating low risk of direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of low maintenance and potential lack of transparency, but lacks clear indicators of malicious intent.
Heuristic Checks
Outbound Network Calls
score 3.0
Found 2 network call pattern(s)
try: async with aiohttp.ClientSession( timeout=aiohttp.ClientTimeout(total=10),y: async with aiohttp.ClientSession( timeout=aiohttp.ClientTimeout(total=300
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
score 3.0
Suspicious email domain flags: Very short email domain: qq.com>
Very short email domain: qq.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 6.0
3 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with ErisPulse-BiliParser
构建一个名为'Bilibili Video Explorer'的迷你应用程序，该应用将利用'ErisPulse-BiliParser'包的功能来解析B站视频链接，并提供详细的视频信息、热门评论和弹幕。以下是构建这个应用程序的具体步骤和建议功能列表： 1. 用户界面设计：开发一个简洁直观的用户界面，允许用户输入B站视频链接。 2. 视频信息获取：使用'ErisPulse-BiliParser'包解析用户提供的视频链接，提取并展示视频的基本信息（如标题、UP主、播放量、弹幕数量等）。 3. 热门评论展示：通过调用'ErisPulse-BiliParser'包中的相关功能，获取并展示该视频的热门评论。 4. 弹幕显示：解析视频的弹幕数据，并以可视化的方式在应用中实时显示这些弹幕。 5. 搜索功能：添加搜索功能，让用户可以通过关键词查找相关的视频或评论。 6. 书签管理：实现书签功能，允许用户保存他们感兴趣的视频链接以便日后查看。 7. 分享功能：集成社交媒体分享功能，使用户可以轻松地将感兴趣的视频分享到其他平台。 8. 用户反馈机制：设置用户反馈渠道，收集用户对应用的改进建议。 请注意，为了确保项目的顺利进行，请确保已经安装了'ErisPulse-BiliParser'包，并熟悉其API文档。