Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154E2A531B148B83F0597B6D1FB75A35BA287878DD907071A42FD8B8D4BDAC81ED024DA |
|
CONTENT
ssdeep
|
384:taRVyODIIok4IIIII9r1lBmJl+bUUJqU66VjfpIU3P9QvpW:MRVyODII2IIIIIRK+Y4qUVVjpJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83e37d1c19396396 |
|
VISUAL
aHash
|
00f3e7ef7f3c1818 |
|
VISUAL
dHash
|
87c7cfdbe5e0f0f0 |
|
VISUAL
wHash
|
00f1e7ef7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ca8d988c0c,0008c4d4c4440000,87c7cfdbe5e0f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)