Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BD6152B3801018BA63134AE4BA84774D7ADBA36DCD133941F3F5569D63CEC90F9356A4 |
|
CONTENT
ssdeep
|
48:lRFsFPiu+F+u57kvPRttLMHJNTlD6A6e3AouON1HAE:lzsFPHw/57MRttaNT8eQON1r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0327688d98f7333 |
|
VISUAL
aHash
|
c3c3c3ffffffffff |
|
VISUAL
dHash
|
8c948c1c10100000 |
|
VISUAL
wHash
|
c0c0c0c0003c3d3c |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
8c948c1c10100000,f382b49692b4c2f3,204cb2b2b2696916 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.