Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C933BB03A19F5765AB343A710AF1503B278562F940E4C207354ECEE76ACC9BA067FD9 |
|
CONTENT
ssdeep
|
1536:00d3QXoIJDjC6OoX6fboQoCo2h2wV9Q/oDtVPTMn56QDHuC/T+Lv8jc:00d32oIJbXexMAQgDnADR/6sc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999666c6c273399 |
|
VISUAL
aHash
|
18180c1818181818 |
|
VISUAL
dHash
|
32b23a32b231b0b0 |
|
VISUAL
wHash
|
1b183c3e3c9d3c78 |
|
VISUAL
colorHash
|
38000000c00 |
|
VISUAL
cropResistant
|
32b23a32b231b0b0 |
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 173 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.