Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EE7334117D09AEA3ED239DD1F4062E07F352E30EAAA884D3659D414B5ECBCF0796E478 |
|
CONTENT
ssdeep
|
1536:an3H89/YIT8Fp1876m/Z/KrtE8OE2XEDHXotwMaj0E388OFEn9Xl9axvuENsvFTS:bFHRLsfz9u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0070ff8f0870ff0 |
|
VISUAL
aHash
|
000000c7e7c7ffa5 |
|
VISUAL
dHash
|
00a2b28c8cb48055 |
|
VISUAL
wHash
|
000000e7e7d7ffbd |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
84a2949694dca2c4,00a2b28c8cb48055 |
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 69 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.