Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117C36DF43244B2764593C3F7906E65137339122BD50E8D60A360EB8EA3E9C9BD46BBD4 |
|
CONTENT
ssdeep
|
1536:ZkApKRekrhicRmZeNcKRrbU1RSs02ObI/i3UwLVCcuGOjjRn3:Z9yh2Lod2OMdW5uGOt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b326cccc993366cc |
|
VISUAL
aHash
|
00bc000c3c403c1c |
|
VISUAL
dHash
|
cc684d58704d7018 |
|
VISUAL
wHash
|
7cfc242c3c243c2c |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
cc684d58704d7018 |
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 1795 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.