Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EBD26572E184263B42E7D2C9B3216B2AB3D3838DEB9A191153F9439D0FD7E54DD1342A |
|
CONTENT
ssdeep
|
384:ewe/GLy+giR6FitRXTY+4lIK+uO6Wejpmx/u++gxjwlIYsOy2+y9BH4ciUIe:3e/GLyTqTTqJQxjq7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272f43a8c69e1e1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c0cc849cdcd9300 |
|
VISUAL
wHash
|
00c4e0380f07ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
0080800458988000,9c2cc848c9cdcd13 |
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.
Pages with identical visual appearance (based on perceptual hash)