Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15FE123E1C044DD3B131385E9B7F52B5F7596C745CB020E8853F853EA5BDAC60CA23A9A |
|
CONTENT
ssdeep
|
96:TkZxaHkh4lzH0XHeGnV4yMfEKdwvF6eRXYHFeepXvz/1V4yBSQPJ:QZxaHkh4lzH0Xdn+hfEKu2fBz9+8SQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e96969e191959696 |
|
VISUAL
aHash
|
c181d7ffffffcb00 |
|
VISUAL
dHash
|
1b0737300d061740 |
|
VISUAL
wHash
|
818181dfffff8300 |
|
VISUAL
colorHash
|
07007008000 |
|
VISUAL
cropResistant
|
1b0737300d061740,6f9b616169696969,0000000000000000,278d636169696969 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.