Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EA037F30B1956A3F90A79BC59675733B72E49289D993130563FDC3B84BC2C90FE0B85A |
|
CONTENT
ssdeep
|
384:O6cV+XIIXyjOJWujb2uiFjxzfjujK8aN6tykPov8p9HsPHWuEMozNeiaB0ozzW0e:O6PIIXd3WF2KLgIEG8HsPHpdzj6mmfOc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3d33c38393cacc3 |
|
VISUAL
aHash
|
006c7c2c6c703020 |
|
VISUAL
dHash
|
98c8c4e8d8c4e4c0 |
|
VISUAL
wHash
|
486e7e7c6c707078 |
|
VISUAL
colorHash
|
00000000000 |
|
VISUAL
cropResistant
|
98c8c4e8d8c4e4c0 |
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 22390 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.