Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18EF11EF1D444ED3B435386D9A7BA6B0B7391C349CF031A4593F883AB5FDACA0CA11699 |
|
CONTENT
ssdeep
|
192:QJ0ss0sg0RnbzD715lt8iILJI0IMn4j0jsTqB4xkWIMnYE8w:QJXsXgOnf10JIBMn4jwvTMnYE8w |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b309cc66ce1999 |
|
VISUAL
aHash
|
ffffffffffffff00 |
|
VISUAL
dHash
|
0c0c100c0e000800 |
|
VISUAL
wHash
|
e4e4e4e403270000 |
|
VISUAL
colorHash
|
07000030080 |
|
VISUAL
cropResistant
|
0c0c100c0c160800,0000000000000000 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.