Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T163B168B1A99A643722B389C635B6132B71E2CE4EDC53051487FD43BD4FEAD90FD06581 |
|
CONTENT
ssdeep
|
96:TGuTaU+4opdRbM/zKlUvJ/d/MFKwzUELid+cMxK6Up/g+9E9:XAdRK/dvd+lME9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
82ec1b93641f4b3e |
|
VISUAL
aHash
|
007f7f63672f1f00 |
|
VISUAL
dHash
|
31b0e7e6aec97838 |
|
VISUAL
wHash
|
007f7f63472f1f00 |
|
VISUAL
colorHash
|
0be00000000 |
|
VISUAL
cropResistant
|
8080c0c0494b4b2d,cb8d6e662e86c6e0,72f8f4e697cbc981,31b0e7e6aec97838,871f3b4383070f1c |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.