Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11BF16123A299350822EA4264FD76CBD7B3114682C2091BB65F75427FFC8D6F888B71DC |
|
CONTENT
ssdeep
|
96:Tu0qbUp+i0Px9gWCq5j6ko4zFSvuizEV+pue3OMaJeL2Ia:KrAknPx9uq5j6kFSvuizs+cIaELg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b838c7c3c2cecb8a |
|
VISUAL
aHash
|
ffc3c3c3c3ffffff |
|
VISUAL
dHash
|
169e96969e1b3717 |
|
VISUAL
wHash
|
c3c383c3c3c3d3c3 |
|
VISUAL
colorHash
|
06600018000 |
|
VISUAL
cropResistant
|
169e96969e1b3717,7a6cceeeed68cdd7,fffedefbf9defdff |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.