Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1214252356918ED3E60E3C2E0E737672F32B48281D94B071553FD83299FDAD89DC22554 |
|
CONTENT
ssdeep
|
192:BSyb0N3iHg4yYegJ7T99F5HZ9HH5KLD6I6PKPNe76:413F4yfsvvFH9HZcDnY6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3c383723436367 |
|
VISUAL
aHash
|
009fffffffffff7f |
|
VISUAL
dHash
|
3f3a29c88a0cc8a0 |
|
VISUAL
wHash
|
001880fae680fe7e |
|
VISUAL
colorHash
|
07c00008000 |
|
VISUAL
cropResistant
|
3b334cea0e4cc8a8,00c32b27270b8301 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.