Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11444966C301215AF61B3CAD0B4A1BF0BB0E1F30BDE6DE60595ED12156FCBD22A9E1674 |
|
CONTENT
ssdeep
|
1536:YQmDYHf4jJ8rBKish6WMItgFVLEfYvFy5rD9U+Iepav1t4tBT91Vp/7FUZL8R+7A:QDYHf4jJ8rBKish6pKgFz4dUZL8R+7A |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc3633933399d8 |
|
VISUAL
aHash
|
0018383838180000 |
|
VISUAL
dHash
|
0f35737370724451 |
|
VISUAL
wHash
|
85fc3d3d3c3c3c20 |
|
VISUAL
colorHash
|
30200038000 |
|
VISUAL
cropResistant
|
e0e1b0d6d47070c8,0f35737370724451 |
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 66 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.