AI Analysis
Final verdict: SUSPICIOUS
The package shows signs of potential obfuscation and has incomplete metadata, raising concerns about its legitimacy and purpose.
- Potential obfuscation techniques observed
- Incomplete author information and new/inactive account
Per-check LLM notes
- Network: The package makes network calls to external URLs which could be for legitimate purposes like fetching configurations or updates, but requires further investigation to ensure there's no unauthorized data exchange.
- Shell: No shell execution patterns detected, suggesting low risk of direct system command execution.
- Obfuscation: The observed pattern suggests potential obfuscation, but it could also be used for legitimate purposes such as dynamic class loading.
- Credentials: No direct evidence of credential harvesting is present.
- Metadata: The author information is incomplete and the account seems new or inactive, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Low (4.6/10)
○ Low
Test Suite
1.0
No test suite detected
No test files or test-runner configuration detected
◈ Medium
Documentation
5.0
Some documentation present
Detailed PyPI description (4481 chars)
○ Low
Contributing Guide
4.0
No contributing guide or governance files found
Development Status classifier >= Beta
◈ Medium
Type Annotations
5.0
Partial type annotation coverage
103 type-annotated function signatures detected in source
✦ High
Multiple Contributors
8.0
Active multi-contributor project
4 unique contributor(s) across 56 commits in iFishin/AutoComSmall but multi-author team (3–4 contributors)
Heuristic Checks
Outbound Network Calls
score 9.0
Found 6 network call pattern(s)
try: requests.get(config_url, timeout=5) logger.log_step_info(WiFi配置 response = requests.get(config_url, timeout=5) if response.status_code =try: requests.post( url=config_url, headers=config_headers,try: response = requests.get(target_url, timeout=5) if response.status_code =": response = requests.get(url, headers=headers) elif method == "POST":": response = requests.post(url, headers=headers, json=body) else:
Code Obfuscation
score 2.0
Found 1 obfuscation pattern(s)
module = __import__(module_path, fromlist=[class_name]) custom_handler_class = getattr(module,
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: ifishin.top>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository iFishin/AutoCom 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 autocom
构建一个名为 'SerialBatchExecutor' 的小型应用程序,该程序使用Python的'autocom'包来实现对多个串行设备的指令批量处理。此应用程序的主要功能包括: 1. 用户可以通过命令行界面输入一系列设备的标识符(例如:端口号或设备名)以及对应的指令集。 2. 应用程序将这些设备分组,并根据用户指定的方式(串行或并行)执行指令。 3. 支持多种类型的指令,如读取数据、写入数据等,并能够处理不同设备间的数据交互。 4. 提供详细的日志记录功能,以便于调试和监控指令执行过程。 5. 允许用户自定义指令执行策略,例如设置超时时间、重试次数等。 6. 支持保存和加载指令配置文件,方便用户重复使用相同的指令集。 7. 在指令执行过程中提供实时反馈,显示当前正在执行的设备及其状态。 8. 集成错误处理机制,能够捕获并报告执行过程中遇到的问题。 请详细说明如何利用'autocom'包的核心特性来实现上述功能,并提供一个示例脚本展示如何使用这个应用程序。
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