Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155831AA43909F5271EB343AB20DE25037378121B980D4D70B250FD9EB6F9C9AA167FD9 |
|
CONTENT
ssdeep
|
1536:zoorz3j8RsArX9WERiAQ3O4Ab3exTCBq/Gzm:lz3j6IERQk3GCB6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36bbc446b9394ac |
|
VISUAL
aHash
|
00003c6c707effff |
|
VISUAL
dHash
|
c2c1d8c8c4c4c006 |
|
VISUAL
wHash
|
00003c64707effff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
f0c8c9c4c4e002c0,d0c7c0d8c8c0c4d4,02200113814164a4,b0c8d0e0e0e8f8f0 |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)