Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12B233A726332B8B843DB91DEE7382D55B2D2988EE9C74554F1C99ACD13C3C806297BB4 |
|
CONTENT
ssdeep
|
768:ajpn+EsZx8/G8SU4QmDawaM5BrwHM5BewzqN2/y9dGDUDF1E56ITmH+LXPnTyPqM:ajpn+EsZ/8SPQmDawaM5BrwHM5BeweNZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d972e648d9f24cc8 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
8d48294cb2320c00 |
|
VISUAL
wHash
|
ff000000183cffff |
|
VISUAL
colorHash
|
3a031000000 |
|
VISUAL
cropResistant
|
00000c0c0c080000,8248104d4d142082,0000000000000000,814028280c3ab230 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)