Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AAC25532618AEDA720A393D0E7BBB71BB3C08284DA474B1592FD476C5BDDC49EC3A550 |
|
CONTENT
ssdeep
|
384:SMJ44cdFivGn8P7cNSsrEWi6BXeUOTVHWoF8kHdc3WqW:SA44QFivGhRoWi0uUOMoGkHdc3W1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c14aba35b94ab5c5 |
|
VISUAL
aHash
|
ff007030200200ff |
|
VISUAL
dHash
|
b9c1c1e1c696a13b |
|
VISUAL
wHash
|
ff707878624200ff |
|
VISUAL
colorHash
|
02000200030 |
|
VISUAL
cropResistant
|
8000c0d8d8008210,f0f0f07131709245,2527d2e4b2aa7313,9b9ecaaaca467231,62628a8aca6a7261,b230e89eb772f4e8,695354c1d2d0c0d3,2be480aaaaa09483,2101000100003b3b,39c2c1e1c2d69491 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.