Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T152C2C632E110663702D383E87770675EB3D28299DA63166A26F4874C1FD7F96CD2226A |
|
CONTENT
ssdeep
|
768:LE9Bc8AhzpsxIK4bmXUXX4GX3j1ptCg3x:WcvhzpsxIK4KUYYpZh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9ba45c6ce30393c |
|
VISUAL
aHash
|
ffff8f8fbfe7c2ee |
|
VISUAL
dHash
|
0b1b3c3a219f8e5c |
|
VISUAL
wHash
|
fdff8f8f9f000004 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0b1b3c3a219f8e5c |
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 44 techniques to evade detection by security scanners and make reverse engineering more difficult.