Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143327333E500CD698E9B968CF2C09689421ED349FB314CC6A1A491FF7BC4DF169A939D |
|
CONTENT
ssdeep
|
192:hYYcJcZch+m8V/sEABxzMcnthWeNWbqyhOfMmUU8VCo1P:RcJcZch+m8V/vOyhOfMmUFCoJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0690f07ed07f870 |
|
VISUAL
aHash
|
00c0c2c2c2c604ff |
|
VISUAL
dHash
|
fb9e9e9e9e9cfcd8 |
|
VISUAL
wHash
|
01c3c3c7c6c606ff |
|
VISUAL
colorHash
|
01000000038 |
|
VISUAL
cropResistant
|
7a9e9e9e9c9cfcd8,34383a3079c03133,fb9e9e9e9e9c9cfc |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.