Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CE739A68B2209827253BC5D475ABFFEB229AA30FC71E451013ECA3525FFBEB07195464 |
|
CONTENT
ssdeep
|
384:CDE3yCtEV/4mfmUmVnMCRWRLygZlqV/2/g5z1gSV7IDFCf9dU/g6ZOXmR:ggEV/fmU+MOammkE45Rgo7IDhR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999d99926666666 |
|
VISUAL
aHash
|
1818101818181818 |
|
VISUAL
dHash
|
32b2b033b3b232b2 |
|
VISUAL
wHash
|
ffffba1819181818 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
6cccc898f0f0c8c0,32b2b033b3b232b2 |
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 70 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)