Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FF7121B0D1045E1B67A2B5C5C9C3BA4459F3A0E9F95B0044B6AAD44C0BCCBB1E19F7B7 |
|
CONTENT
ssdeep
|
96:RtmsuO1D32EVbFXq1JPde52jIk55NJZz4bTV5JtxfJK:fN1D32ibF4Py85bZz4bZ5S |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa42d52f4ad725ca |
|
VISUAL
aHash
|
000000000103ffff |
|
VISUAL
dHash
|
ffaf8ecdc31f1c01 |
|
VISUAL
wHash
|
3f0703010107ffff |
|
VISUAL
colorHash
|
02000038000 |
|
VISUAL
cropResistant
|
ffaf8ecdc31f1c01 |
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 71 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.