Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1555284305A422437026B4DC0B5799B6F76E3D31ECE67181623FC83DAAFCACA9DD19914 |
|
CONTENT
ssdeep
|
192:SLGcGtMVc02to2csH75YoHSQL8Ws47Lg1w6lBep66XQUkU:taVc02/75YoyQOqMq6lw6YQg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6c8c915966a7bc8 |
|
VISUAL
aHash
|
ffff00000600ffff |
|
VISUAL
dHash
|
abe0016c4c4ceaea |
|
VISUAL
wHash
|
ffff00000000ffff |
|
VISUAL
colorHash
|
07003200040 |
|
VISUAL
cropResistant
|
abe0016c4c4ceaea,21565b4969175608,032cacaedeec9cde,cf162ec8f1352b8c |
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 6313 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.