Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CAA100720098DE376172C2D1CFB2257B61A08717CEA7869573F447899ADBCF0EC12169 |
|
CONTENT
ssdeep
|
96:npDTERS9H6cFZ+ICZHtqtbbMQYHzaLAM00OxRZ:pD4k9WXZ4bm+gX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9933cccc336dcc31 |
|
VISUAL
aHash
|
181c0c0c0c383a3c |
|
VISUAL
dHash
|
f969919999767671 |
|
VISUAL
wHash
|
1c3c0c0d0f3b3b3f |
|
VISUAL
colorHash
|
00000c00000 |
|
VISUAL
cropResistant
|
d42632b66eb3b1b2,4890218102041010,2182082080000000,f969919999767671,54dc9edcdc5c5751,73774949416d3169 |
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 14683 techniques to evade detection by security scanners and make reverse engineering more difficult.