Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198F1F6F762208A5E4582D1B8FF62F4D0C24EC09FE256DAD0E39E47B904EBCE4F566950 |
|
CONTENT
ssdeep
|
192:aj0GhEBhvchy3HyIgs/jywAcQSyUZxBcFL/W:u08E7v6ugQ2NjaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac407863513bf5ae |
|
VISUAL
aHash
|
0000ffffffff83ff |
|
VISUAL
dHash
|
82b29610c8575725 |
|
VISUAL
wHash
|
0000f3ffffff8100 |
|
VISUAL
colorHash
|
0e1c0010000 |
|
VISUAL
cropResistant
|
b69619c5c0577765,008292929200b2b2,672723373735354d,5154646464262a4b,656565092a2f6766,a4eced53ab2b3317,9a9953434a475404,72525b4b4b495a60,e9695595b5d5ce49,e6e2eb4b5a5ab9ad,a52545697414ce2b,8d365654d5ddcc80 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.