Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132C35031909475379A274DD9B275AB2F71DBC30EDA130806E3FC87E61BCAC82DE58529 |
|
CONTENT
ssdeep
|
1536:3sx9KDKb9K+JgUNX8n5kVYxKYoeL9cXkItkoRGykQgZLPGfO5bYHGtUDia:3ARgU66v3kS9OhYHGtUDia |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd9ae1b2e4b3b0a2 |
|
VISUAL
aHash
|
ff3c3c3c10000000 |
|
VISUAL
dHash
|
29717171630e4e46 |
|
VISUAL
wHash
|
ff3cbdbd30000101 |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
8a71317171717161,71717161660e4e06 |
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 448 techniques to evade detection by security scanners and make reverse engineering more difficult.