Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FA63463C62C0563950CB87F2F594DF29D29DCB99DB23AD8BF3ACC247168AC458F46660 |
|
CONTENT
ssdeep
|
768:k5JnFffqWcvbfXHwo4xBg28ajUx1v3PZoGEWbvoQseYnZ/4ycyQTs5:k9fyWdMx1v3PREWbs/4Pc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9abd0b2c2eadad0 |
|
VISUAL
aHash
|
ff0b0b2303030100 |
|
VISUAL
dHash
|
dbd7d3d3d7d79390 |
|
VISUAL
wHash
|
ff0b1b7b1303035a |
|
VISUAL
colorHash
|
07600008040 |
|
VISUAL
cropResistant
|
cbdff3d3d3d7d7b3,2040838b73a36393,dff3d3d3d7d39a90 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)