Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16DA3B5B75444603B6B2777CC9A147B0EA26EA09CDD0740E477EEC2AD72C1F609A39E4D |
|
CONTENT
ssdeep
|
1536:6Vg8OK7COeOIXQc1HmYmoGsssXRKwbbkJz8ZWPFYb/0ZMrBQQZsOn:6j2mqstCXP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
855725da0bdab546 |
|
VISUAL
aHash
|
000002003cffff03 |
|
VISUAL
dHash
|
d4e6c668691437d7 |
|
VISUAL
wHash
|
0000023cffffff07 |
|
VISUAL
colorHash
|
03007000000 |
|
VISUAL
cropResistant
|
3c86da6e2c2b889e,c080615d5d6188c0,a080e155456162a0,12231a162136c7d6,d4c1c6e6c6666969,873945412525139e,3697c7d7d7c63616 |
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 180 techniques to evade detection by security scanners and make reverse engineering more difficult.