Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117D4624773A57339C246F0A1AC9FDC0AF7746898128A405DAA8CC5F49A7487CC77EDE8 |
|
CONTENT
ssdeep
|
12288:sjJG6iu+GEsiCV+1ZwqNx3SXdpb4aADOno2rA1fkg+HERiAb3rz3zq0r6vYaij7M:5Fu+GEsiCV+1+qNx3SNpb4aADOno2rAk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a322de19cbc29ad9 |
|
VISUAL
aHash
|
ff0303030303ffff |
|
VISUAL
dHash
|
4b8f8fcf8e9e0660 |
|
VISUAL
wHash
|
f70103030303ffff |
|
VISUAL
colorHash
|
07006200000 |
|
VISUAL
cropResistant
|
4b8f8fcf8e9e0660 |
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 1835 techniques to evade detection by security scanners and make reverse engineering more difficult.