Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18AC21E237184962A4E8B01FDEE9CB76A615D918AF330C08269F5813FDB65CED793039D |
|
CONTENT
ssdeep
|
768:91OA5ng5m3H3w3QefoVVTrIaFTGAShXJOVX07v9rft77p7zVOCJaZ3YP0fBUs3:91OAirITulHSBN3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f391d381d380ff0 |
|
VISUAL
aHash
|
0f2f3f3f3f1f1f3f |
|
VISUAL
dHash
|
7c6cdcfcfc7cbc6c |
|
VISUAL
wHash
|
0f073f0f0f0f0f0e |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
7c6cdcfcfc7cbc6c |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.