AI Analysis
Final verdict: SAFE
The package appears to be legitimate with no direct evidence of malicious intent. While there are some indicators that could suggest obfuscation or unusual behavior, these do not strongly point towards a supply-chain attack.
- No network or shell risks detected
- Potential obfuscation through use of eval, but likely related to functionality
- Single package from maintainer account
Per-check LLM notes
- Network: No network calls detected, which is normal.
- Shell: Shell execution is used for executing GDAL tools like 'listgeo', suggesting the package is functioning as intended for its purpose.
- Obfuscation: The use of eval with dynamic namespaces might indicate an attempt to obfuscate code execution, but it could also be part of complex logic handling in GDAL.
- Credentials: No clear signs of credential harvesting detected.
- Metadata: The maintainer has only one package on PyPI, which may indicate a new or less active account. The non-HTTPS external link is suspicious but does not necessarily imply malice.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
score 2.0
Found 1 obfuscation pattern(s)
myResult = eval(this_calc, global_namespace, local_namespace)
Shell / Subprocess Execution
score 8.0
Found 4 shell execution pattern(s)
Error: pass rc = os.system(htdp_path + " < " + control_fn) if rc != 0: printry: output = subprocess.check_output(["listgeo", filename]).decode("LATIN1") except Exceps = None output = subprocess.check_output(["listgeo", tmp_filename]).decode("LATIN1") os.rlit()[1] try: p = subprocess.Popen([command, args], stdout=subprocess.PIPE) except OSError:
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: pobox.com
Suspicious Page Links
score 2.0
Found 1 suspicious link(s) on the package page
Non-HTTPS external link: http://www.gdal.org
Git Repository History
Repository OSGeo/gdal appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Frank Warmerdam, Howard Butler, Even Rouault" 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 GDAL
Create a Python-based mini-application called 'GeoTiler' which takes a large geospatial raster dataset as input and divides it into smaller, more manageable tiles based on user-defined criteria such as tile size and overlap. The application should also allow users to specify an area of interest (AOI) to focus on within the larger dataset. Utilize the GDAL package to read, manipulate, and write geospatial data efficiently. Step 1: Define the application's main functionality: - Read a geospatial raster dataset using GDAL. - Divide the dataset into smaller tiles based on user input. - Optionally, apply a transformation (e.g., re-projection) to the tiles if needed. - Write each tile to disk as a separate file. Step 2: Suggested Features: - User interface for selecting the input dataset and specifying parameters like tile size and AOI. - Option to visualize the tiles before saving them. - Support for different output formats (e.g., GeoTIFF). - Logging and error handling to ensure robust operation. Step 3: Implementation Details: - Use GDAL's `gdal.Open()` function to open the input raster dataset. - Implement logic to determine the extent of the AOI and calculate tile boundaries. - Use GDAL's `gdal.Translate()` or similar functions to create and save each tile. - Provide feedback to the user about progress and completion status.