Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9825573480C383B2242A2CAE696BE46D3DA434ADB574910B3F447AD4BD3F60F961D1A |
|
CONTENT
ssdeep
|
192:jc9kCEhevlTtu5Vv9Q0AT1q4VQDh+8i/BfAnWtBUE:jc9kCEhev65BAhqeh/yn1E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
999d2633999dcc26 |
|
VISUAL
aHash
|
4a00181818000000 |
|
VISUAL
dHash
|
9e96b2b2b28c2000 |
|
VISUAL
wHash
|
5e5a185a5a60ef9c |
|
VISUAL
colorHash
|
386000000c0 |
|
VISUAL
cropResistant
|
0000000000000000,0000000000000000,9e96b2b2b28c2000 |
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 985 techniques to evade detection by security scanners and make reverse engineering more difficult.