Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T183928DB31747092FEE4B91DAFA592A88E0CAA32BC2515C45FBE28957DF41E34FC19170 |
|
CONTENT
ssdeep
|
384:l4RCB44e0QCYH9NrzGNt9Zs+GPTt1ZwbbQNKhrp+ohCyoxaSrE0X1Xmh2fld1s9w:lSCB44JiNrzGNt9Zs+GPTnZwbbQNKhrE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8d6c769926c3893 |
|
VISUAL
aHash
|
feffd787cfc1c3ce |
|
VISUAL
dHash
|
245a2c3618131798 |
|
VISUAL
wHash
|
fecf87878781810e |
|
VISUAL
colorHash
|
07001000e40 |
|
VISUAL
cropResistant
|
245a2c3618131798 |
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 96 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.