Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17343AC30A9C6A9374153D1D4AF7A971A76E0F30AC6430705DBF8C3AC6BEED5AEC06548 |
|
CONTENT
ssdeep
|
1536:7P8C1cuSDErOKy5B1YLTqlZ6x+zZE5dCVkcKq5QycTLsDgH:7PVct3YQrcv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b373999999646466 |
|
VISUAL
aHash
|
cfe7c3c3ffffe7ff |
|
VISUAL
dHash
|
100d4e0e101c0c1c |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07000000640 |
|
VISUAL
cropResistant
|
100d4e0e101c0c1c,e4c444909c23c2e4 |
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 16284 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.