Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D163543C63C0563950C787F2E694AF29D29DCBD9DB27AD8BF3ACC247168AC458F51260 |
|
CONTENT
ssdeep
|
768:9USqFfIq1NsbfXHwo4xBg28nyX1v3PZhGEWbf5FjeVqkMpH+K0Pm:Gfd1Jn1v3P+EWbOVm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9abd2b2c0ead2d2 |
|
VISUAL
aHash
|
ff0b0b3303030100 |
|
VISUAL
dHash
|
dbd7d3d3d7d79390 |
|
VISUAL
wHash
|
ff0b1b7b1303035a |
|
VISUAL
colorHash
|
07600008040 |
|
VISUAL
cropResistant
|
6bdfd3d3d3d7d7b3,2040838b73a36393,dfd3d3d3d7d39a90 |
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 285 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)