Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16BA2B9F2A140589303F7A8C5D171BE2AB2DBF30FA24A85556DAC46842FCBDF5F452670 |
|
CONTENT
ssdeep
|
192:6oVRQ1IQ1JYF7FqFayFLMDeDYKZFvVlhGuwkDxvHiX4jk:dpQ1JYF7FqFtFLM54vTY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99999b736466646c |
|
VISUAL
aHash
|
0c1c181818183c18 |
|
VISUAL
dHash
|
3a3a303030282a20 |
|
VISUAL
wHash
|
181c1c183c3c3c3c |
|
VISUAL
colorHash
|
3801a000000 |
|
VISUAL
cropResistant
|
3a3a303030282a20 |
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 23 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.