Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174734371221C65BD11EBC3E44F230A5A33F9E780EA62016091FCC7B95FABC9ADD571A0 |
|
CONTENT
ssdeep
|
768:vKfsNFZ0KfsNFDjinzt2BcOEaazPJsrgvFm/YED8MxXNQpfmpPyGRaEiQfZ:Xrt5OEaazPJs8MxXNQpfmpPyaaEiQfZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4183898c76793e7 |
|
VISUAL
aHash
|
8783e3e3f7ffe3e3 |
|
VISUAL
dHash
|
3e3e4e060606460e |
|
VISUAL
wHash
|
838383e3c7e3c1e3 |
|
VISUAL
colorHash
|
070020000c0 |
|
VISUAL
cropResistant
|
3e3e4e060606460e,805229f04404a200 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 3 techniques to evade detection by security scanners and make reverse engineering more difficult.