Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15E9233B421601BAF8987CEF53768E73D9294C7CCCE37CB0BA3E562561BA6CC67901251 |
|
CONTENT
ssdeep
|
384:3giGL+X6LN7UpFkgarFazhCCrtc5aO+6OtPR3eJn+UKXnTJ:3giM+X6LN7ocrFarrtc5aO+6OtPR3eJ8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a4da94b5e1297966 |
|
VISUAL
aHash
|
173f016323131303 |
|
VISUAL
dHash
|
f665e7c3c7666fe6 |
|
VISUAL
wHash
|
3f3f017327171703 |
|
VISUAL
colorHash
|
00001000180 |
|
VISUAL
cropResistant
|
cdece4e6afcacace,9efcece8a6a4a4ac,dfcfcd4d4d6d69f3,ec8af3cd8ce4e80e,1c3ee4e426e664e5,cf899898828387e4,f665e7c3c7666fe6 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)