Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F2D26372A194273F42A7C2C8B721672FB2D3828DEB96191163FD879E0BD7E10DD13526 |
|
CONTENT
ssdeep
|
384:0e/GLdsgUR6y1VXxyV7Xui+uOunrWgVNEIOHtlIYsOy2+y9BH4ciUIe:0e/GLdimuteqDHf7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272fc389969e1c1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
8c0cc8c9cdcd8300 |
|
VISUAL
wHash
|
00e4f0300f05ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,8c0cc8c8e9cdcd03 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.