Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8B2BC5231086A66C2F348DD941036906286DB4BC861877086BC4E7F2FE2AB577D9F7F |
|
CONTENT
ssdeep
|
384:+lswYIuiVLzVgj9wtlNiANLzgLG9b4+UZL87EZ6uUMqjbgX+DXN1eyqwnPzITcHf:wuQ/Vgjytf1N/gLGd4+0L87EZ6DMMRyG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c4ee9babb090ab91 |
|
VISUAL
aHash
|
fff0f0f0c0001c1c |
|
VISUAL
dHash
|
6564a4848403b4f4 |
|
VISUAL
wHash
|
fff0f0f6d0001c1e |
|
VISUAL
colorHash
|
32203000080 |
|
VISUAL
cropResistant
|
0c646564a4858484,01006b1313800000,d4dcd49c594e2635,408049496dedadb6,31313038acaceeee,656484848730f4f4,3b3d3d4cc7d0c2c3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.