Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1950254A1E450DD360B1285C6B7B67F6FBAA1C705CB020D8063F853AA57CEDB0CB1299D |
|
CONTENT
ssdeep
|
96:TkCxOqL6RzXFfuSTAHTEwyt7N7ytpfaFqiXKHFZ6XZX/JTkT+AT431:Q26RzXFfrqTEwy37yXffGXO18F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b971c6ce18f33138 |
|
VISUAL
aHash
|
ffffc7cf8fcfff7f |
|
VISUAL
dHash
|
c0169e1a1e1800d0 |
|
VISUAL
wHash
|
3f8383838300ff3f |
|
VISUAL
colorHash
|
070020000c0 |
|
VISUAL
cropResistant
|
c0169e1a1e1800d0,600f0c66e28d8c9d,d3d5d163b3f9ff81 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.