Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E4611333B500891605A38A4DADD7B644D1ABF38BC514ADF6A76C42AF20C59FCE4B7943 |
|
CONTENT
ssdeep
|
96:ghoL7dkt7dQi7dc7pthWU9NEORod2Lhq9:ghUZ4ZfZc0ChKdmq9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
929969e6a66da496 |
|
VISUAL
aHash
|
123c7c007e76283c |
|
VISUAL
dHash
|
e4d8d8c4e4c4d8dc |
|
VISUAL
wHash
|
123c7c343e7e2c3c |
|
VISUAL
colorHash
|
38006000200 |
|
VISUAL
cropResistant
|
727130d2c96b72f2,e4d8d8c4e4c4d8dc |
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 288 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.
Pages with identical visual appearance (based on perceptual hash)