Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10462F9B5F31417B19A8243D6FF2122EDA01750AE9A726F9CD754C248F2ED8BFC9108C6 |
|
CONTENT
ssdeep
|
192:QoroBS5l/OTd/g7/6hPl+FJ75q4Mku9cuGRmKbMpBXp7sfgg8gk:QSocIoyh8FJl3nsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0c71989c7b8c567 |
|
VISUAL
aHash
|
fbe3c3e7e7cfcfce |
|
VISUAL
dHash
|
b2860e4d4e929392 |
|
VISUAL
wHash
|
dbc1c3c3838b8bca |
|
VISUAL
colorHash
|
070030000c0 |
|
VISUAL
cropResistant
|
b2860e4d4e929392,2387511dc5857171 |
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 483 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.