Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EAF33BF562D462D89107D7F4E1B1B966716F35FFEB92C68CC2E44A91A3D18AC88C8DC0 |
|
CONTENT
ssdeep
|
1536:ZbeWKH6yHg12DAl9YTiX6mXAKi/rM3i02RbDqlcjnrwyHgpzOfAnyjTu8cA6FHGu:nlakcjnrwyH1Tu8cA6FHxiXG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c56ab13cc6857897 |
|
VISUAL
aHash
|
002060303c187e7e |
|
VISUAL
dHash
|
c6cccc6454f6d4d4 |
|
VISUAL
wHash
|
026a603c3e1e7e7e |
|
VISUAL
colorHash
|
31201010000 |
|
VISUAL
cropResistant
|
3b396c8d95ec7911,cc5cccecec6677ec,e0b1ab685858556c,f6e496c673f0d0d4,a5e4f2f9808296b6,c6cccc6454f6d4d4 |
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 5223 techniques to evade detection by security scanners and make reverse engineering more difficult.