Picklescan is missing detection when calling built-in Python cProfile.runctx

Summary Using cProfile.runctx function, which is a built-in python library function to execute remote pickle file. Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to cProfile.runctx function in reduce method Then when the victim after...

GHSA-FQQ6-7VQF-W3FG Picklescan is missing detection when calling built-in python doctest.debug_script

Summary Using doctest.debugscript function, which is a built-in python library function to execute remote pickle file. Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to doctest.debugscript function in reduce method Then when the victim...

Picklescan is missing detection when calling built-in python doctest.debug_script

Summary Using doctest.debugscript function, which is a built-in python library function to execute remote pickle file. Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to doctest.debugscript function in reduce method Then when the victim...

Picklescan is missing detection when calling built-in python idlelib.pyshell.ModifiedInterpreter.runcode

Summary Using idlelib.pyshell.ModifiedInterpreter.runcode function, which is a built-in python library function to execute remote pickle file. Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to idlelib.pyshell.ModifiedInterpreter.runcod...

Picklescan is missing detection when calling built-in python lib2to3.pgen2.pgen.ParserGenerator.make_label

Summary Using lib2to3.pgen2.pgen.ParserGenerator.makelabel function, which is a built-in python library function to execute remote pickle file. Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to...

Picklescan has a missing detection when calling built-in python library idlelib.calltip.get_entity

Summary Using idlelib.calltip.getentity function, which is a built-in python library function to execute remote pickle file. Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to idlelib.calltip.getentity function in reduce method Then whe...

GHSA-7CQ8-MJ8X-J263 Picklescan has a missing detection when calling built-in python idlelib.autocomplete.AutoComplete.fetch_completions

Summary Using idlelib.autocomplete.AutoComplete.fetchcompletions, which is a built-in python library function to execute remote pickle file. Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to...

Picklescan has a missing detection when calling built-in python idlelib.autocomplete.AutoComplete.get_entity

Summary Using idlelib.autocomplete.AutoComplete.getentity, which is a built-in python library function to execute remote pickle file. Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to idlelib.autocomplete.AutoComplete.getentity functio...

Picklescan has a missing detection when calling built-in python profile.Profile.run

Summary Using profile.Profile.run, which is a built-in python library function to execute remote pickle file. Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to profile.Profile.run function in reduce method Then when the victim after...

$AutoGuardX$: a Comprehensive Cybersecurity Framework for Connected Vehicles

The rapid integration of Internet of Things IoT and interconnected systems in modern vehicles not only introduced a new era of convenience, automation, and connected vehicles but also elevated their exposure to sophisticated cyber threats. This is especially evident in US and Canada, where...

A Comprehensive Review of Denial of Wallet Attacks in Serverless Architectures

The Denial of Wallet DoW attack poses a unique and growing threat to serverless architectures that rely on Function-as-a-Service FaaS models, exploiting the cost structure of pay-as-you-go billing to financially burden application owners. Unlike traditional Denial of Service DoS attacks, which ai...

Picklescan missing detection when calling pytorch function torch.jit.unsupported_tensor_ops.execWrapper

Summary Using torch.jit.unsupportedtensorops.execWrapper function, which is a pytorch library function to execute remote pickle file. Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to torch.jit.unsupportedtensorops.execWrapper function...

When Machine Learning Meets Vulnerability Discovery: Challenges and Lessons Learned

In recent years, machine learning has demonstrated impressive results in various fields, including software vulnerability detection. Nonetheless, using machine learning to identify software vulnerabilities presents new challenges, especially regarding the scale of data involved, which was not a...

DDoS Attacks in Cloud Computing: Detection and Prevention

DDoS attacks are one of the most prevalent and harmful cybersecurity threats faced by organizations and individuals today. In recent years, the complexity and frequency of DDoS attacks have increased significantly, making it challenging to detect and mitigate them effectively. The study analyzes...

Activate Me!: Designing Efficient Activation Functions for Privacy-Preserving Machine Learning with Fully Homomorphic Encryption

The growing adoption of machine learning in sensitive areas such as healthcare and defense introduces significant privacy and security challenges. These domains demand robust data protection, as models depend on large volumes of sensitive information for both training and inference. Fully...

Machine Learning-Based AES Key Recovery Via Side-Channel Analysis on the ASCAD Dataset

Cryptographic algorithms like AES and RSA are widely used and they are mathematically robust and almost unbreakable but its implementation on physical devices often leak information through side channels, such as electromagnetic EM emissions, potentially compromising said theoretically secure...

Enhancing GraphQL Security by Detecting Malicious Queries Using Large Language Models, Sentence Transformers, and Convolutional Neural Networks

GraphQL's flexibility, while beneficial for efficient data fetching, introduces unique security vulnerabilities that traditional API security mechanisms often fail to address. Malicious GraphQL queries can exploit the language's dynamic nature, leading to denial-of-service attacks, data...

Demystifying the Role of Rule-Based Detection in AI Systems for Windows Malware Detection

Malware detection increasingly relies on AI systems that integrate signature-based detection with machine learning. However, these components are typically developed and combined in isolation, missing opportunities to reduce data complexity and strengthen defenses against adversarial EXEmples,...

Enhance the Machine Learning Algorithm Performance in Phishing Detection with Keyword Features

Recently, we can observe a significant increase of the phishing attacks in the Internet. In a typical phishing attack, the attacker sets up a malicious website that looks similar to the legitimate website in order to obtain the end-users' information. This may cause the leakage of the sensitive...

Designing with Deception: ML- and Covert Gate-Enhanced Camouflaging to Thwart IC Reverse Engineering

Integrated circuits ICs are essential to modern electronic systems, yet they face significant risks from physical reverse engineering RE attacks that compromise intellectual property IP and overall system security. While IC camouflage techniques have emerged to mitigate these risks, existing...