Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10493983293222403D0A795D5B1720B4B7362876ACA134B75A7F933BAFACECB53712355 |
|
CONTENT
ssdeep
|
1536:BKyaw5AIaPuoVQ+vcX9BPUgOq63yfRQk1AZK5YakTJQoeD5xus2wNqi11OHHgKIX:5NBPUgOq6W4p5huxk222I2222222dJ8E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9364c71939cc734 |
|
VISUAL
aHash
|
8181f1efc9f9d9fb |
|
VISUAL
dHash
|
232b27db9bdbb393 |
|
VISUAL
wHash
|
8181a1c9c9f9d9f9 |
|
VISUAL
colorHash
|
07200038000 |
|
VISUAL
cropResistant
|
232b27db9bdbb393,099964f131272b2b,4b43319898d08c4d,272b3b2b2b3323cc |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)