Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10D235B726732B87843DB91DDE7382E46B2D2589DF8C74554B1C95ACD23C3C802697BB4 |
|
CONTENT
ssdeep
|
768:aVA03+EsZx8/G8Xu45DawHMDBgowOMDBg2Ucix+y9dQpUDF1E56ITmHDLBABW8KZ:aVA03+EsZ/8XZ5DawHMDBJwOMDBTUXxb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6e919dc5c09a98 |
|
VISUAL
aHash
|
ff81a1a18181ffff |
|
VISUAL
dHash
|
4d4d4d4d63710000 |
|
VISUAL
wHash
|
ff8081818081ffff |
|
VISUAL
colorHash
|
07230008000 |
|
VISUAL
cropResistant
|
4d4d4d4d63710000,cccc48cc3abe7060,40d2d29babd2d2c4,ecf1f151754c8826,fffffff5c6fedfdf |
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)