Detecting Cryptographic Functions for String Obfuscation

Analysing complex evasion and obfuscation techniques is crucial for creating more robust defences against malware. String obfuscation is an easy-to-implement technique that hides information, such as domain names, registry keys, etc. Its detection and removal allow malware to be more accurately analysed. This paper proposes a new method for generating detectors for string obfuscation in binary executables. This is achieved by combining features extracted from the assembly of a binary, and its respective control flow graph and the directed graph derived from the control flow graph. Our method generates highly efficient detectors tailored for string obfuscation achieving more than 90% across all evaluation metrics.

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Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/csr61664.2024.10679462
Citations
1
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
0.25
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article

Detecting Cryptographic Functions for String Obfuscation

Rogério de Lemos, Pierre Mondon
1 citations
Chaos-based Image/Signal Encryption
0.25
article

Detecting Cryptographic Functions for String Obfuscation

Rogério de Lemos, Pierre Mondon
article en
1 citations

Abstract

Analysing complex evasion and obfuscation techniques is crucial for creating more robust defences against malware. String obfuscation is an easy-to-implement technique that hides information, such as domain names, registry keys, etc. Its detection and removal allow malware to be more accurately analysed. This paper proposes a new method for generating detectors for string obfuscation in binary executables. This is achieved by combining features extracted from the assembly of a binary, and its respective control flow graph and the directed graph derived from the control flow graph. Our method generates highly efficient detectors tailored for string obfuscation achieving more than 90% across all evaluation metrics.

University of Kent (GB)
Openalex Percentile: Top 47%
Chaos-based Image/Signal Encryption
0.25
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