Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151E2B732D019A93F069BB3E1A770A36A7395439AD6431B2942FDC34D4FEBD90DD0B4A4 |
|
CONTENT
ssdeep
|
384:pDi4QII1cIIIII94lBYYg8yeVZClhg3tolCr3Cs5E8qQPfWpW:JipIIKIIIIIN8yeVZGgdo4rSCqQnx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
86e3711c9c397396 |
|
VISUAL
aHash
|
00e1f7ff7f181818 |
|
VISUAL
dHash
|
8fcfcbf3e5f1f0f0 |
|
VISUAL
wHash
|
00f1ffdf7f181810 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f363d3cadd988c8c,0002c8fcd4440000,8fcfcbf3e5f1f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)