Error code:   JWTInvalidSignature
Exception:    InvalidSignatureError
Message:      Signature verification failed
Traceback:    Traceback (most recent call last):
                File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
                  decoded = jwt.decode(
                      jwt=token,
                  ...<2 lines>...
                      options=options,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
                  decoded = self.decode_complete(
                      jwt,
                  ...<8 lines>...
                      leeway=leeway,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
                  decoded = self._jws.decode_complete(
                      jwt,
                  ...<3 lines>...
                      detached_payload=detached_payload,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
                  self._verify_signature(
                  ~~~~~~~~~~~~~~~~~~~~~~^
                      signing_input,
                      ^^^^^^^^^^^^^^
                  ...<4 lines>...
                      options=merged_options,
                      ^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
                  raise InvalidSignatureError("Signature verification failed")
              jwt.exceptions.InvalidSignatureError: Signature verification failed

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🔐 Code Vulnerability Dataset (CWE-Enriched)

📌 Overview

This dataset is built from the bstee615/diversevul dataset and enhanced with structured vulnerability intelligence from the MITRE Common Weakness Enumeration (CWE) database.

It provides a rich, machine-readable representation of software vulnerabilities, mapping raw vulnerable code samples to standardized CWE classifications.

The dataset is designed for research and development in:

Vulnerability detection models
Secure code generation
LLM fine-tuning for cybersecurity tasks
Static analysis and code understanding systems

🧠 Dataset Enrichment Process

Each sample in the dataset has been augmented using the MITRE CWE API to include structured security intelligence such as:

CWE identifier (e.g., CWE-787)
Vulnerability type (e.g., Out-of-bounds Write)
Human-readable description
Severity / exploit likelihood
Impact categories (e.g., code execution, crash)
Applicable programming languages
Security classification metadata

📊 Data Structure

Each row in the dataset contains:

🔹 Original Fields

func → Source code snippet
cwe → Original CWE labels from DiverseVul dataset

🔹 Enriched Field

cwe_details → JSON object containing structured CWE metadata:

{
  "cwe_id": "CWE-787",
  "vulnerability_type": "Out-of-bounds Write",
  "description": "The product writes data past the end, or before the beginning, of the intended buffer.",
  "severity": "High",
  "category": "Memory Corruption",
  "impact": [
    "Modify Memory",
    "Execute Unauthorized Code",
    "Crash (DoS)"
  ],
  "languages": ["C", "C++"],
  "example": "Example not extracted"
}

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