Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E78230103272887B411FF5E4EDA57B0365A7E30BD3926BE295E851F42BC9C64BD132E2 |
|
CONTENT
ssdeep
|
384:GJx6iw9IX/T7rxO2fZXzZh95bKWWnG+5F3gvgcgrS:GJQ6fFzZh95Z+5tgvgcgrS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcb663e318bc49c1 |
|
VISUAL
aHash
|
ffffffdfffffff00 |
|
VISUAL
dHash
|
0c2c223420900012 |
|
VISUAL
wHash
|
e78781813030bf00 |
|
VISUAL
colorHash
|
07c01000040 |
|
VISUAL
cropResistant
|
0c0c223230002000,0000001252321212 |
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 152 techniques to evade detection by security scanners and make reverse engineering more difficult.