Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6D2C7E1E204F83F068686E8E375326961CED39ED5D9121062E6C3B11DCBD2DEA7B4D1 |
|
CONTENT
ssdeep
|
384:lfYPeKkQL0LogUfkA+64Ck9ScNweZEXS38muISK4fBmmIkHBuw93QbXEvjoqZ8Vr:O9K4fVv0MaVkS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b09b318bcf64ce64 |
|
VISUAL
aHash
|
fffff7ffffc3c3c3 |
|
VISUAL
dHash
|
689d449669969696 |
|
VISUAL
wHash
|
ff4723032400c200 |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
689d449669969696,00b2b230b2ccb4f0 |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)