Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19312DE31A552487F12371AC5F0B9DB8A78C3E30ECB4A961056FD43A95FDEEB0AC54623 |
|
CONTENT
ssdeep
|
96:Rus9ipyeKp37ftQV893rdJZdAR1gRScUDGA5bI5MUJnUodwvEr9ET9Ee9E6z9EL+:X4Kvh9RSKVmev6+Jl3i |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd8c64646667c6ce |
|
VISUAL
aHash
|
18183c1818181818 |
|
VISUAL
dHash
|
7030706060707060 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
30007000000 |
|
VISUAL
cropResistant
|
b2a2944d4d8ea2aa,9aa2984c4c8ca2a2,a28094cd4d8c80a2,a280ca4c4c8a80a2,7030706060707060 |
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 87 techniques to evade detection by security scanners and make reverse engineering more difficult.