Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A62394369904213B073712CDF02A7B5EF0E3C34ECA4354A0B3AD57DA1BDBD94E56A929 |
|
CONTENT
ssdeep
|
1536:gnezO1dzEhtDkqHvqtLj35bd6BBumGVS8DeqY17GgBJYmxzDkBVbmIulh34s5r9j:gnr1WMmhpfNMy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a356ad2d542db952 |
|
VISUAL
aHash
|
01300c04040b0327 |
|
VISUAL
dHash
|
42c8c8ccdcfbcfcf |
|
VISUAL
wHash
|
03782c3e1e1f076f |
|
VISUAL
colorHash
|
31000007000 |
|
VISUAL
cropResistant
|
804b726971710c14,42c8c8ccdcfbcfcf,016928174d30b10d |
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 1643 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.