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intrigus.org | ||
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pymotw.com
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blog.trailofbits.com
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| | | | | By Matt Schwager Deserializing, decoding, and processing untrusted input are telltale signs that your project would benefit from fuzzing. Yes, even Python projects. Fuzzing helps reduce bugs in high-assurance software developed in all programming languages. Fortunately for the Python ecosystem, Google has released Atheris, a coverage-guided fuzzer for both pure Python code and Python C | |
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thepythoncorner.com
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| | | | | In 2016 I wrote a post about serialization in Python by using the pickle Python module. In this article, we will try to serialize Python objects by using another module: json. According to Wikipedia "JSON is an open-standard file format or data interchange format that uses human-readable text to transmit data objects consisting of attribute-value pairs and array data types (or any other serializable value)". But why you should use to use JSON instead of the official pickle module? Well, it depends on what you have to do... JSON is a safer protocol, it's human-readable and it's a standard adopted... | |
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textslashplain.com
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| | | While it's common to think of cyberattacks as being conducted by teams of elite cybercriminals leveraging the freshest 0-day attacks against victims' PCs, the reality is far more mundane. Most attacks start as social engineering attacks: abusing a user's misplaced trust. Most attackers don't hack in, they log in. The most common cyberattack is phishing:... | ||
