Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F8A32F24A804D92201EB8EC99172272960FE539DCA17058CFAB4D7F95BEFC6DCB73611 |
|
CONTENT
ssdeep
|
3072:fHLJ6SRXE3/8n0a6nJRSdfb3Jce7h7JKAX38o7u:fHd5cGhMt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93736c3c6c1c6c63 |
|
VISUAL
aHash
|
006e6e2e7e3e0e00 |
|
VISUAL
dHash
|
98ccdcd8ccecece1 |
|
VISUAL
wHash
|
006e6e3e7e3e3e10 |
|
VISUAL
colorHash
|
18000400051 |
|
VISUAL
cropResistant
|
8c9892e1f0b1a6c6,4a00c0969696e000,980080c0e0e0e000,9a1a353534d4d494,8080a080a0a48080,98ccdcd8ccecece1 |
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 4049 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.