Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0E113E1C048DC3A131385E5B7F52B5F7596C345CB020E8863F853AA9BDFC60C927A9A |
|
CONTENT
ssdeep
|
96:TkZ8379oh4lzH030eGnV8iyEBowvFTeVX3HFqeNzXJdz/JxV8cdPQPJ:QZQ79oh4lzH03snLyEiZ/FzfbPQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3824365b8bc3cbc |
|
VISUAL
aHash
|
0020ffffff000000 |
|
VISUAL
dHash
|
dccd140028727879 |
|
VISUAL
wHash
|
207fffffff000000 |
|
VISUAL
colorHash
|
03000000007 |
|
VISUAL
cropResistant
|
f0d4aa8e698ecce8,4667a94b5a984b4e,0020303030280810,4424cbdcd5c9ccd4,62725212587879db |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.