Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED234A726732B87843DBA2DDF7392D46B2D2589DF8C74550B5C95A8E23C3C806193BB4 |
|
CONTENT
ssdeep
|
768:ak+EsZx8/G8Ft4XDawCMDBAw9MDB+Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDvt6:ak+EsZ/8FmXDawCMDBAw9MDB+UXx+y93 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef38c5c493e1c592 |
|
VISUAL
aHash
|
bd818181bdb9b9b9 |
|
VISUAL
dHash
|
5961454965656561 |
|
VISUAL
wHash
|
b9818181bdb9b9b9 |
|
VISUAL
colorHash
|
33000e00000 |
|
VISUAL
cropResistant
|
5961454965656561,a2c0c19d9cc8c0a2,3623232301212121,d8e0c0c8f4c2e2c2,4f4d5a8b8f93938b |
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)