Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DAE133E1C044DC3B135385EAB7F52B5F7696C345CB024E8853F853EA5BDAC60CA23A99 |
|
CONTENT
ssdeep
|
96:TkUS79oh4lzH030eGnVDYyEswvFbeJXjHFvexXgz/JVVDjzYSQPJ:QUS79oh4lzH03snmyEsR4ezzSSQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3834365b8bc6cbc |
|
VISUAL
aHash
|
0020ffffff000000 |
|
VISUAL
dHash
|
d8cd440008a30100 |
|
VISUAL
wHash
|
007effffff300000 |
|
VISUAL
colorHash
|
03000000007 |
|
VISUAL
cropResistant
|
f0d4aa8e698ecce8,4667a84b4a9a4b4e,0020303030280810,4424cbdcd5c9ccd4,42a3a11000000000 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)