Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15BE123E1C008DD36435286D6F7F52B1B79E6C349CB020A8853F853BB5BDEC60DA26699 |
|
CONTENT
ssdeep
|
96:TkLN7mohOhHWfeG9VGbcEWywvF6eZXEHFQeZX50/NxQPJ:QLN7mohOhHW19IcEWVaRH03QR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d050406127afafbf |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
84b8b8308c080000 |
|
VISUAL
wHash
|
000000ffffffff00 |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
84b820380c000800,25dc9c8382b8b0b8,c991912121454585 |
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.