Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15063547211826A7F208381E1C758E769E3C2DA0AC7674A46DBE8931B77C7DE1DC3A174 |
|
CONTENT
ssdeep
|
1536:bLG+i9yyBa5cd409sm8rqJ+0iLC7Jd0Lt+xVur8y5G:+JL48lsJI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe96d496bc |
|
VISUAL
aHash
|
00003c7e7efff1ef |
|
VISUAL
dHash
|
8c8bc8d0cccc238c |
|
VISUAL
wHash
|
00003c7e7effd1c3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
c8c8d4c8cc238e8e,8c8fc9dbc0c8dcdc,4501656171714151,0145557151454580,884c581c4cc88d62,29ca89b929babab3 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)