Comments (1)
Micro-Learning Topic: Deserialization of untrusted data (Detected by phrase)
Matched on "Deserialization of untrusted data"
It is often convenient to serialize objects for communication or to save them for later use. However, serialized data or code can be modified. This malformed data or unexpected data could be used to abuse application logic, deny service, or execute arbitrary code when deserialized. This is usually done with "gadget chains
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Helpful references
- OWASP Deserialization Cheat Sheet - This cheatsheet is focused on providing clear, simple, actionable guidance for preventing deserialization flaws in your applications.
- OWASP Deserialization of untrusted data - OWASP community page with comprehensive information about deserialization vulnerabilities, and links to various OWASP resources to help detect or prevent it.
- OWASP Top Ten 2017 A8: Insecure Deserialization - OWASP Top Ten articles provide basic techniques to protect against these high risk problem areas, and guidance on where to go next.
Micro-Learning Topic: Vulnerable library (Detected by phrase)
Matched on "Vulnerable Library"
Use of vulnerable components will introduce weaknesses into the application. Components with published vulnerabilities will allow easy exploitation as resources will often be available to automate the process.
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Related Issues (20)
- Flask_Cors-3.0.10-py2.py3-none-any.whl: 1 vulnerabilities (highest severity is: 5.3) HOT 1
- tensorflow-2.10.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl: 43 vulnerabilities (highest severity is: 9.8) HOT 4
- Depfu Error: No dependency files found HOT 1
- torch-1.13.0-cp37-cp37m-manylinux1_x86_64.whl: 4 vulnerabilities (highest severity is: 9.8) HOT 4
- paddlepaddle-2.3.2-cp37-cp37m-manylinux1_x86_64.whl: 31 vulnerabilities (highest severity is: 9.8) HOT 7
- [poe][release] Your next release
- Dependency Dashboard HOT 1
- mpmath-1.2.1-py3-none-any.whl: 1 vulnerabilities (highest severity is: 7.5) - autoclosed HOT 8
- protobuf-3.20.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl: 1 vulnerabilities (highest severity is: 7.5) - autoclosed HOT 8
- nltk-3.7-py3-none-any.whl: 2 vulnerabilities (highest severity is: 6.1) HOT 1
- onnx-1.12.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl: 1 vulnerabilities (highest severity is: 7.5) HOT 1
- ipython-7.34.0-py3-none-any.whl: 1 vulnerabilities (highest severity is: 7.0) HOT 1
- gradio-3.4b2-py3-none-any.whl: 13 vulnerabilities (highest severity is: 9.8) HOT 4
- Flask-2.2.2-py3-none-any.whl: 1 vulnerabilities (highest severity is: 7.5) HOT 1
- aiohttp-3.8.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl: 8 vulnerabilities (highest severity is: 7.5) HOT 5
- pip-22.3.1-py3-none-any.whl: 1 vulnerabilities (highest severity is: 3.3) HOT 1
- requests-2.28.1-py3-none-any.whl: 1 vulnerabilities (highest severity is: 6.1) HOT 1
- Pillow-9.3.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl: 2 vulnerabilities (highest severity is: 8.1) HOT 1
- grpcio-1.50.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl: 1 vulnerabilities (highest severity is: 7.5) HOT 1
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