Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D63757102866E3F108382D08359E35AD7CBE609D7A74D5AEBEC431F26C7DA4ED36264 |
|
CONTENT
ssdeep
|
1536:k/aDy0iRsDcPN0U+6MqVIO0ViCKR501Gx8RQ87v:1BVV/n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e84183bc376cb4f1 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
8ed393331c37270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
9154569b922b2b44,38789d9c8c8c8d8f,82a28a969696a882,c53a382327400f0c,968fe9d3932b3397 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.