Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E146D703200667E196743DBF1E96312723EE21EDA0B8C40B38C95AA67DEC9796377C5 |
|
CONTENT
ssdeep
|
6144:xJbbjVz5QJYiA3b1/ta/qf03qkbtZ96eEFH:v9kHSH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
991676218dd49d8f |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
504c30b2b2b20c10 |
|
VISUAL
wHash
|
0c1c1c183e19fcff |
|
VISUAL
colorHash
|
07000010400 |
|
VISUAL
cropResistant
|
b0a6a6a2eaf68aaa,504c30b2b2b20c10 |
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 178 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.