Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B5B2CEB31647091FEE4B94C6FA596A88E0CBA31BC2515C45FBF28957EF42E34BC19270 |
|
CONTENT
ssdeep
|
384:Dd+jkjNrzGNt9Zs+GPTt1ZwbbQNKh2p+ohCyoxaSrE0X1Xmh2fld1s9lthJu/fio:D1NrzGNt9Zs+GPTnZwbbQNKh2p+ohCyq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
df00ff80ff209f02 |
|
VISUAL
aHash
|
181800003c3c009b |
|
VISUAL
dHash
|
3230161669719653 |
|
VISUAL
wHash
|
f8f880803c3c01fb |
|
VISUAL
colorHash
|
38039008000 |
|
VISUAL
cropResistant
|
3230161669719653 |
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 111 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.