Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B6813D30A1180E3DA483C7A4F7B07778525AC380EB1F552CE5E992B96E42C68DD6F2D8 |
|
CONTENT
ssdeep
|
96:Temn/7huUOMxK55FxwdOGw/w6OByqcOzEcf:dnMUO/IOGwXO/cOJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b38dcc3299996666 |
|
VISUAL
aHash
|
ffffe7efe7e7ffff |
|
VISUAL
dHash
|
08102a2a4d4d3008 |
|
VISUAL
wHash
|
00ff01c3c301e7ff |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
08102a2a4d4d3008 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.