Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8E2107190C5AA3B029391C2A3351F1B73E18316DA530B0967FD879EAFD7C91ED632A1 |
|
CONTENT
ssdeep
|
384:vge4taBpezZcFGNAHkpXUwPSSV+mD+GbCSSocpzz:vh4kBpezeFGNAHkpXUMVVl2SS1zz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b205f93e4979a651 |
|
VISUAL
aHash
|
010703090687cfff |
|
VISUAL
dHash
|
febededbfd2c1d98 |
|
VISUAL
wHash
|
0307070d0787cfff |
|
VISUAL
colorHash
|
02001000038 |
|
VISUAL
cropResistant
|
3de85a78cc68494f,c4c7848c90c0c0d2,50363431595eddd9,d96c2c2d3c999800,febecedbd92c2c99,401a646111c160cc |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.