Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171829D17A284C53A0E9B80FDDA88F656664CD245F730CA8329F9823FFB51DAD746136C |
|
CONTENT
ssdeep
|
384:zqiMdiKSik4ugLiQ6AmKjcXFowUfMmUFCoP:Wi6i5ikTgLiQvjcXFoZfBUso |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b86765647c497998 |
|
VISUAL
aHash
|
c3c3cfcfdfcfdfcf |
|
VISUAL
dHash
|
0f0f3b3e383b3a3e |
|
VISUAL
wHash
|
8383c783df838f83 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
0f0f3b3e383b3a3e |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.