AI Analysis
Final verdict: SAFE
The package is deemed safe with a low risk score due to lack of network calls, obfuscation, and credential harvesting. The moderate shell risk is likely due to legitimate Git operations.
- No network calls detected
- No obfuscation or credential harvesting patterns
- Potential legitimate use of shell commands for Git operations
Per-check LLM notes
- Network: No network calls detected, which is normal and not indicative of malicious activity.
- Shell: Detection of shell execution suggests the package may be performing Git operations, possibly for version control or to retrieve specific versions of files. This could be legitimate but warrants further investigation into its purpose.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
- Credentials: No credential harvesting patterns detected, suggesting safe handling of sensitive information.
- Metadata: The maintainer has only one package, which may indicate a new or less active account, but no other red flags are present.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
score 2.0
Found 1 shell execution pattern(s)
try: origin_code = subprocess.check_output( ["git", "show", "v0.2.4:adjusted_identity/__ini
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: yahoo.com>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository joshuaowalker/adjusted-identity appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Josh Walker" 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 adjusted-identity
Develop a bioinformatics tool called 'SeqMatcher' that leverages the 'adjusted-identity' package to calculate the identity between DNA sequences after applying MycoBLAST-style preprocessing and Multiple Sequence Alignment (MSA). SeqMatcher should allow users to input one or more DNA sequences and perform the following operations: 1. Preprocess the sequences using MycoBLAST-style methods, which include trimming low-quality ends, removing ambiguous bases, and normalizing sequence lengths. 2. Perform an MSA on the preprocessed sequences to align them optimally. 3. Calculate the adjusted identity score between each pair of aligned sequences. 4. Visualize the alignment results and identity scores in an easy-to-understand format. 5. Optionally, provide an option to save the alignment and identity results to a file. The 'adjusted-identity' package will be used primarily for the calculation of identity scores post-preprocessing and MSA. Users should be able to interact with SeqMatcher through a command-line interface or a simple web-based front-end, depending on your preference. Additionally, ensure that SeqMatcher includes comprehensive documentation and examples to help other researchers and developers understand how to use it effectively.