defending_expanding_attack_surface.pdf
3.1 MB
#Analytics
#Threat_Research
"Defending the Expanding Attack Surface: Trend Micro 2022 Midyear Cybersecurity Report".
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#Threat_Research
"Defending the Expanding Attack Surface: Trend Micro 2022 Midyear Cybersecurity Report".
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SingPass.pdf
17.4 MB
#reversing
"iOS SingPass RASP Analysis", 08.2022.
]-> https://github.com/romainthomas/romainthomas.github.io/tree/main/post/22-08-singpass-rasp-analysis
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"iOS SingPass RASP Analysis", 08.2022.
]-> https://github.com/romainthomas/romainthomas.github.io/tree/main/post/22-08-singpass-rasp-analysis
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Avoiding_Memory_Scanners.pdf
529.9 KB
Avoiding Memory Scanners
Customizing Malware to Evade YARA, PE-sieve, and More.
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Customizing Malware to Evade YARA, PE-sieve, and More.
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Password spraying and MFA bypasses .pdf
1.5 MB
spraying Password ٍbypasses MFA در چشم انداز امنیتی مدرن
By : TryHackBox
Language : Persian
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By : TryHackBox
Language : Persian
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iwlwifi_Edition.pdf
273.9 KB
#WLAN_Security
"Ghost in the Wireless, iwlwifi edition"
]-> Tool: https://github.com/Ledger-Donjon/intel-wifi-research-tools
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"Ghost in the Wireless, iwlwifi edition"
]-> Tool: https://github.com/Ledger-Donjon/intel-wifi-research-tools
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Escaped_Silo.pdf
1.5 MB
#Cloud_Security
BlackHat USA 2022:
" COW (Container On Windows) Who Escaped the Silo: Isolations are made to be broken"
]-> Tools for analyzing Windows containers and break container's isolation:
https://github.com/SafeBreach-Labs/CoWTools
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BlackHat USA 2022:
" COW (Container On Windows) Who Escaped the Silo: Isolations are made to be broken"
]-> Tools for analyzing Windows containers and break container's isolation:
https://github.com/SafeBreach-Labs/CoWTools
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Malware_Classification_with_ML.pdf
538.9 KB
#Research
"Quo Vadis: Hybrid Machine Learning Meta-Model based on Contextual and Behavioral Malware Representations", 2022.
]-> Hybrid Machine Learning Model for Malware Detection based on Windows Kernel Emulation:
https://github.com/dtrizna/quo.vadis
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📚 t.iss.one/Library_Sec
"Quo Vadis: Hybrid Machine Learning Meta-Model based on Contextual and Behavioral Malware Representations", 2022.
]-> Hybrid Machine Learning Model for Malware Detection based on Windows Kernel Emulation:
https://github.com/dtrizna/quo.vadis
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📚 t.iss.one/Library_Sec
UWB_Real_Time_Locating_Systems.pdf
15.6 MB
#Research
#WLAN_Security
"UWB Real Time Locating Systems: How Secure Radio Communications May Fail in Practice", 2022.
]-> Tools to dissect the UWB RTLS communication, focusing on the anchors-server packets:
https://github.com/NozomiNetworks/blackhat22-uwb-rtls
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#WLAN_Security
"UWB Real Time Locating Systems: How Secure Radio Communications May Fail in Practice", 2022.
]-> Tools to dissect the UWB RTLS communication, focusing on the anchors-server packets:
https://github.com/NozomiNetworks/blackhat22-uwb-rtls
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