Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151F271B29044A9331267D6E9F661FB2EB4D7920CCB431981ABF897AD0FC3CA5CD55118 |
|
CONTENT
ssdeep
|
768:y/bkWTAD+m2+AD+bc+7m+oo+2qCC9VRdB2RP:yDTmgvF/eDqCYOP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cf30303131717ded |
|
VISUAL
aHash
|
003c3c3c3c3c3c3c |
|
VISUAL
dHash
|
6861616161616161 |
|
VISUAL
wHash
|
303c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
33007000000 |
|
VISUAL
cropResistant
|
c1c1c18181c1c1e1,6861616161616161 |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)