Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C234A72A332B87843DB91EEF7382D46B2D2989DE8C74550F5C9568D23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:a6oj3uEE+EsZx8/G8h+RF4rDatXM7BTtVM7B17Ucix+y9dQpUDF1E56ITmHDLBAk:aY+EsZ/8hQOrDatXM7BTtVM7B17UXx+8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6e919dc5c09a98 |
|
VISUAL
aHash
|
ff81a1a18181ffff |
|
VISUAL
dHash
|
4d4d4d4d63710c00 |
|
VISUAL
wHash
|
ff8081818081ffff |
|
VISUAL
colorHash
|
07230008000 |
|
VISUAL
cropResistant
|
4d4d4d4d63710c00,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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)