Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F863463C23C1563550CB87F2E6949F29D29DCBD9EB27AD8BF3ACC2471686C458F52260 |
|
CONTENT
ssdeep
|
768:9G3Ffaqy4lbfXHwo4xBg28ODIx1v3PZBGEWbVYOcee3mM4H+K0Pm:Mf/yxOx1v3PiEWbdIm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9abd0a2c2eadad2 |
|
VISUAL
aHash
|
ff0b0b0303030100 |
|
VISUAL
dHash
|
dbd7d3d3d7d79b90 |
|
VISUAL
wHash
|
ff1b1b3b1303035a |
|
VISUAL
colorHash
|
07600008040 |
|
VISUAL
cropResistant
|
cbdfd3d3d3d7d7b3,2040838b73a36393,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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)