Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F8E302F12D54F83E95A779C164949E6CA3F34349CE022ACED2F683E48757EA4C963062 |
|
CONTENT
ssdeep
|
3072:Sn5Y5CXXySMkDYxhNFPGEuojlALKIQRC7IiXMubtED2YgVtVjg:Sn5Y5CXXySMkDYxhNFPGEYKU7k |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926d12bdb996186d |
|
VISUAL
aHash
|
0c2000e7c3cf3e0c |
|
VISUAL
dHash
|
d8d8ec8f072d6d4d |
|
VISUAL
wHash
|
0e2020e7e7ef3e2c |
|
VISUAL
colorHash
|
06080003200 |
|
VISUAL
cropResistant
|
6d6c6d6c6d8d8d85,e0e0e0a1e3e3e2ee,d8d8ec8f072d6d4d |
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 629 techniques to evade detection by security scanners and make reverse engineering more difficult.