Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16642A55CC1614FBFBD394B0F62E03A18D475228FEFFD55E8EEA27159A520D7480A086D |
|
CONTENT
ssdeep
|
192:anhQT0S5SYKbxzcfgRJwoiGPQPL1iwL3H92aKKqjiwLy+Qf+IE:w25aKfgRJVP41icoaEicy+QfNE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9964669b999c6666 |
|
VISUAL
aHash
|
0000001c1c3c0000 |
|
VISUAL
dHash
|
001060b0b0780020 |
|
VISUAL
wHash
|
81003c3c3c3c3c00 |
|
VISUAL
colorHash
|
38000000000 |
|
VISUAL
cropResistant
|
b0d83a33b3a0a3a0,001060b0b0780020 |
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 18 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.