Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D821AC735047AC27A38383E422FA921A7AC5C649DF837A0166FC93AC1EF2D54CD14896 |
|
CONTENT
ssdeep
|
24:hR/Om3N0ix0BiJRYwD4b63XN9uy/9tTjgh+5pcZTvtgU9:TGmSfIJHG2XHdtTjGKe9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b73e983933197219 |
|
VISUAL
aHash
|
00ffe7e7e7e7ffff |
|
VISUAL
dHash
|
3b72ccccccccd2d4 |
|
VISUAL
wHash
|
002b666666667e7e |
|
VISUAL
colorHash
|
070000000b0 |
|
VISUAL
cropResistant
|
3b72ccccccccd2d4,52313333333333b1,61f0d441a084e8e0 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)