Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T183223079B008517B567393C9E8917E06A8A2F30F873CE575AAEA81754FD3EB07660813 |
|
CONTENT
ssdeep
|
96:A25CWKXyALnYhyOthWj1Na4UWcz64MTbzgHDE+KYvXszmeKujda:5rKXXLY0OtsNpAS+DE7MKhW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34cce664c8c63 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
4d0c0c0c0c206900 |
|
VISUAL
wHash
|
e7e7c3c3e7e70000 |
|
VISUAL
colorHash
|
0e001000180 |
|
VISUAL
cropResistant
|
4d4d0c4c4d4c0c00,1068691820696814 |
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 20 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.