Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198C34A31A326783D13DF40CCF7787B4272C2C50CDA47096475E89AAA17C7C9A729A7B8 |
|
CONTENT
ssdeep
|
3072:a0EFSqdwavwaSYQmYQn820D0j/cpX9WkK0ybI8Z19:a0edPV5QFQuD04pX9WL19 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e43c16674974674d |
|
VISUAL
aHash
|
00c7d3dfc3e3e3ff |
|
VISUAL
dHash
|
4c2e3616160e0400 |
|
VISUAL
wHash
|
00c3c3c30303233f |
|
VISUAL
colorHash
|
072000000c1 |
|
VISUAL
cropResistant
|
4c2e3616160e0400 |
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 107 techniques to evade detection by security scanners and make reverse engineering more difficult.