Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12741E1C530E5553207B3E9C2A6436B13659AE608D28F3310D7FE47D901E9CB3B85E68E |
|
CONTENT
ssdeep
|
24:hHTy/+Jch3MehAmcG1KNVFrCOTNdC4tEmZiHw3POHft1tIMtfYMtOtS:yt8ehb1KNyiNdxtEdfrVZlws |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af2f3d7e7e00c0c0 |
|
VISUAL
aHash
|
0000ff0080ffffff |
|
VISUAL
dHash
|
777f005101880408 |
|
VISUAL
wHash
|
0000ff0000ffffff |
|
VISUAL
colorHash
|
07200030000 |
|
VISUAL
cropResistant
|
7fdd805101a41000,0000003535010000,ff7f7f7fff7f7fff,0008103232000001 |
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.