Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15C530BE93989B5520B6341D3B1AF364BF33A146F791C59A070A0CAA931F84D9507BFCE |
|
CONTENT
ssdeep
|
768:ryWuWP/ysM5DuMX9t5uSo/uvR1nUZL/1CLlfWirF1jwq8n+jnLFQSX8UI9deRdbf:6BAPyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
97557454432f3a2b |
|
VISUAL
aHash
|
00fe1f3f3fffbfff |
|
VISUAL
dHash
|
a8e8777670247414 |
|
VISUAL
wHash
|
007e0f071f1f17b6 |
|
VISUAL
colorHash
|
07000000c00 |
|
VISUAL
cropResistant
|
0000000000000000,88707776d0647434,0004616169691608,45453bc8c4e45945 |
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 695 techniques to evade detection by security scanners and make reverse engineering more difficult.