Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12B3284705268AD3E415380DAE37A272E30D6929EDF8F030097ED53F91AD7C59FD26095 |
|
CONTENT
ssdeep
|
192:M+z2i3zNMSTUYG1ukbfsh3l9TSgu1UTlchwTqKYDDcTHW9IIUA3/TzvyhiNQC:M+H3rUYG1uUfsh3/SguSlchYqzDc29II |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e5c81a329cc9d9c7 |
|
VISUAL
aHash
|
7e627a7a6262621a |
|
VISUAL
dHash
|
b6c6d296cececeb6 |
|
VISUAL
wHash
|
7e727a7a6262621a |
|
VISUAL
colorHash
|
00000006000 |
|
VISUAL
cropResistant
|
f084c6c6c6ced6c8,b6c6d296cececeb6 |
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 142 techniques to evade detection by security scanners and make reverse engineering more difficult.