Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11342EAF37140593D5083C7F8CF23AA26716BA4FBE703569152F48ABD9AD3E99C90D908 |
|
CONTENT
ssdeep
|
192:XPN6M3mwUFRRp99hYEvfTF3JjsiGdrDcJqanQKjFDI/ejsCzRBzGt2cB:XPYM4p5hYIOiicJjjFDIMN/2R |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3c819e633c833e6 |
|
VISUAL
aHash
|
7fffffffe7e7ff00 |
|
VISUAL
dHash
|
800028304d4c0018 |
|
VISUAL
wHash
|
7cfce4e4e4e4b000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
801028304d4d300c,001032b2b2100400,00041a5a5a1b0000 |
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.
Pages with identical visual appearance (based on perceptual hash)