🤖 AI Analysis

Final verdict: SAFE

The package COSEMpdu v0.3.4 exhibits minimal risks across all categories with no indications of malicious intent or supply-chain attack.

Low network and shell risk
Observed obfuscation appears benign and likely for cryptographic purposes
No signs of credential harvesting or other harmful activities

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires them for its functionality.
Shell: No shell execution patterns detected, indicating low risk for direct system command execution.
Obfuscation: The observed patterns appear to be related to encoding and decoding of binary data, possibly for cryptographic purposes, rather than obfuscation.
Credentials: No patterns indicative of credential harvesting were detected.
Metadata: The package shows some red flags but no clear evidence of malice.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 10.0

Found 6 obfuscation pattern(s)

buf)[:written], b"\x30\x09\x02\x01\x01\x02\x01\x02\x02\x01\x03" ) def test_multiple_elements_decode(self) ->
buf = ByteBuffer.wrap(b"\x30\x09\x02\x01\x01\x02\x01\x02\x02\x01\x03") seq = self.IntegerSequence.get(buf) self.
12 bytes dt_bytes = b"\x07\xE4\x01\x01\x0C\x00\x00\x00\xFF\x88\x00\x00" original = Data(DateTime(axdr.OctetStringType(dt_b
data = Data.date_time(b"\x07\xE4\x01\x01\x0C\x00\x00\x00\xFF\x88\x00\x00") self.assertEqual(data.selected, "date-time")
"date-time", Data.date_time(b"\x07\xE4\x01\x01\x0C\x00\x00\x00\xFF\x88\x00\x00")), ("dont-care", Data.dont_care()), ]
assertEqual(bytes(buf.buf), b'\x01\x00\x00\x00\x00\x00\x00\x00\x00\x00') buf.set_pos(0) t = Tag(10, Class.APPLICAT

✓ 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: outlook.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author name is missing or very short
Author "" 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 COSEMpdu

Your task is to develop a command-line utility named 'CosemPduInspector' using Python, which leverages the 'cosem-pdu' library to analyze and manipulate Cosem PDU (Protocol Data Unit) packets commonly used in smart metering systems. This tool will serve as a diagnostic aid for technicians working with these systems, allowing them to decode incoming PDU data, simulate responses, and validate the integrity of the communication protocol.

The utility should have the following core functionalities:
1. **Decode Incoming PDUs**: The user should be able to input a raw PDU byte array, and the tool should output a human-readable format of the PDU's components (e.g., service message type, access request, data).
2. **Simulate Responses**: Given a specific service message type, the tool should be capable of generating a simulated response PDU that adheres to the expected structure and content for that message type.
3. **Validate PDU Integrity**: Implement a feature to check if a given PDU packet is valid according to the Cosem protocol standards. This includes verifying checksums and ensuring all required fields are present.
4. **Export to File**: Users should be able to export the decoded PDU information or simulated PDUs to a file for further analysis or logging purposes.
5. **Interactive Mode**: Provide an interactive shell where users can experiment with different PDUs and commands without needing to restart the program each time.

To achieve these goals, you'll need to utilize the 'cosem-pdu' package effectively. Specifically, use its classes and methods to parse, construct, and validate PDUs. Ensure your code is well-documented and includes examples on how to use each feature. Additionally, include unit tests to verify the correctness of your implementation.