Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T124637130A414A93B01DB8AD8A672675A62F98349C613029DFAF9C3FD1FEFC19DD27114 |
|
CONTENT
ssdeep
|
1536:12B0U4444ctXDriCKs3ar4Rks10puLBhBsIxq9LUH79F:12B0xi03ar4Rks1RTBVH7T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
962dd4ad32d2a95c |
|
VISUAL
aHash
|
0301010101fffefe |
|
VISUAL
dHash
|
37f7f7ffff321494 |
|
VISUAL
wHash
|
0303030303fffefe |
|
VISUAL
colorHash
|
06002000180 |
|
VISUAL
cropResistant
|
fefefefeeafefefc,37f7f7ffff321494,7b3b73735f57573d,3131ccd4ac09b2b2 |
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 87 techniques to evade detection by security scanners and make reverse engineering more difficult.