Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7934C603918F5771A7343A3709E2203B27C521BD80F4D106625FDEAB7ECC9AA167F99 |
|
CONTENT
ssdeep
|
1536:tuPgr4JgDoTplVlbWpmzhizeaahRYxSnGnKjOWeN:t0gtkRgQwzeDRJOWeN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3c33c383cccc793 |
|
VISUAL
aHash
|
006074742e642000 |
|
VISUAL
dHash
|
b6ccc8c0d8ccc6e4 |
|
VISUAL
wHash
|
42667e7e7e6e001c |
|
VISUAL
colorHash
|
38000080007 |
|
VISUAL
cropResistant
|
01165629716d191b,535656aa3a3ac909,b6ccc8c0d8ccc6e4 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.