Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12C33FA396394113D6A0346B6FA38F7A8518BA18BD70F9588F2BC57223B89CD8CDD35D4 |
|
CONTENT
ssdeep
|
1536:TD0GzFflafJAn4fftn4f9Un4fOhzR4fUS3zR4f6IfrfujiP9cKLJ2:Zlaf+4fft4f9U4fOhufUS3uf6Ifrfgsm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3396c396c3c9696 |
|
VISUAL
aHash
|
00283c283c3c2030 |
|
VISUAL
dHash
|
51d868d8d8e8c6e4 |
|
VISUAL
wHash
|
807c7e3c3e7c7070 |
|
VISUAL
colorHash
|
38000000007 |
|
VISUAL
cropResistant
|
51d868d8d8e8c6e4 |
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 115 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.