Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1104383705172593B025F7640B3A9AF8A34E7D34FC3478BD880BD42A667C9CE95C239B6 |
|
CONTENT
ssdeep
|
768:dEBwmI6+o/u2rJ81b77z9c6DLt2kvZlZzwytMfsiSv8IzgcCqDvboh3Um2WEAsta:dKY9gVqWIqhIAX5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f5817a5c04fd85c3 |
|
VISUAL
aHash
|
52686b03189ec000 |
|
VISUAL
dHash
|
a6d9da4af5342bd4 |
|
VISUAL
wHash
|
ff687b731e9e8000 |
|
VISUAL
colorHash
|
38400200000 |
|
VISUAL
cropResistant
|
cc92ac329a8ac6f0,a6d9da4af5342bd4 |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.