Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19291033324D4AD372761C1DD6DE0B31D6AD4C292C68A1ECD90F8928C2BD9DF5C5A6362 |
|
CONTENT
ssdeep
|
48:TXtXPYPeNe+vePJeWeWeU2IH42JvcfoLq6PmmXMbNoVcP/Q0ElEnx:T9YPkrKJ33RnJvcfoLq6Pmm8bNoVcHN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3a6cc9999662699 |
|
VISUAL
aHash
|
ffffe7e7c3000000 |
|
VISUAL
dHash
|
00004d4d564c8d30 |
|
VISUAL
wHash
|
ffffe7e7c3000000 |
|
VISUAL
colorHash
|
07000000780 |
|
VISUAL
cropResistant
|
fffff7f3f3f3ffff,00004d4d564c8d30 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.