Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19E537130A58ABC3702CB96D456722B6A73E68305CB570A44FAF8C7A94BDFD1DDA33051 |
|
CONTENT
ssdeep
|
768:+VsIx/j2erwKI9sD+zniAx73xUQEHj15brMIyUf79F:+VsIx69KEPzniAxLxUQEHj15MId79F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
da84017df2d28ecd |
|
VISUAL
aHash
|
ff5bfffdd1800000 |
|
VISUAL
dHash
|
b4b2f16d312b58cd |
|
VISUAL
wHash
|
ff5bfdfdd1800000 |
|
VISUAL
colorHash
|
32e08000000 |
|
VISUAL
cropResistant
|
c0202030342020c0,2004716969611420,9295e9c3d5d5b0b5,b63169ce961d1556,b4b2f169352bd8c9 |
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 66 techniques to evade detection by security scanners and make reverse engineering more difficult.