Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10FD2B731B1102A3B029383C6B761F75EE2E35249EB86090673FC876D4BE7E91DE1355A |
|
CONTENT
ssdeep
|
768:ReFy5NemviTcPrPhMZ3Vj/8iYeYT/Sjv7sOy2+y9BH4cLIe:Hvi8PhK/8ZI7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d13eb42da5c1 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
ccc1c3e3cd2cd100 |
|
VISUAL
wHash
|
20fdf1310000ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
d200c00258d88000,ccc9c1c3e3cd0cd0 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.