mradermacher/ThreatSage-12B-GGUF
12B • Updated • 470 • 1
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The JWT signature verification failed. Check the signing key and the algorithm.
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 failedNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
The full CJ Jones' synthetic dataset catalog is available at: https://datadeveloper1.gumroad.com
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📄 100 Samples of Synthetic Automated Penetration Test Reports
This dataset contains 100+ realistic, synthetic penetration testing reports structured to simulate professional internal security assessments. Each record models the full flow of a pentest engagement, including:
- Reconnaissance / Discovery Phase
- Vulnerability Assessment (with CVE tagging)
- Exploitation Attempts (success/failure)
- Final Risk Ratings and Recommendations
These reports are ideal for training LLMs, security copilots, vulnerability classifiers, and summarization agents focused on cybersecurity operations and incident response.
📚 Dataset Structure
Each entry includes:
- Test Metadata: ID, tester, organization, IPs, confidentiality level
- Discovery Phase: Simulated
nmapor banner-grab output - Vulnerability Assessment: CVEs, CVSS scores, tools used (ZAP, Burp Suite, Metasploit)
- Exploitation Results: Command-line tools, outcomes, reverse shell sessions
- Risk Summary: Confidence level, remediation, OWASP-aligned recommendations
All entities such as hostnames, ports, and vulnerabilities are synthetically generated for training purposes. No real systems or data are used.
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