Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B234B726332B8B843DB91EDF7382A46B2D2589DF8C74554B5C95ACE23C3C806197BB4 |
|
CONTENT
ssdeep
|
768:af+EsZx8/G81m4aDatHMiBLtqMiBNwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDV:af+EsZ/81BaDatHMiBLtqMiBNwZUXx+L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6e919dc5c09a98 |
|
VISUAL
aHash
|
ff81a1a18181ffff |
|
VISUAL
dHash
|
4d4d6d4d63716900 |
|
VISUAL
wHash
|
ff8081818081ffff |
|
VISUAL
colorHash
|
07238008000 |
|
VISUAL
cropResistant
|
4d4d6d4d63716900,cccc48ccbabe7060,40d2c29babc6c2c0,edf17151754c8802,fffff7e5dcfc9fdf |
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)