Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4D2A5327010263B129783CA7761F35EE2E3924ADF8A091952FD835D5BD7E60DF2352A |
|
CONTENT
ssdeep
|
768:ieFy5N2EY0iVFcPhK7Q+UYMweIn2HlKb7sOy2+y9BH4c1Ie:YY0i4PhxYMDc7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d13ab829a5c7 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
dcc5c3c3cd2cd300 |
|
VISUAL
wHash
|
00fdf1310400ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
d200c00258d88000,dccdc1c3c3cd0cd2 |
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.