Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18874A4A00054A9FBE247AFD8A3366F3A31B66058CF17C61453F88B849BF2ED59C1F945 |
|
CONTENT
ssdeep
|
1536:Oy/j1LnSkJCdH9D/gOAYFr/jFDGx9iWyTDJdQYr/jFDGx9B:OyL1LnDC19DYOLFDGwouLFDGV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c5a53c0e6de193cc |
|
VISUAL
aHash
|
02007e7e3c3c1800 |
|
VISUAL
dHash
|
96f6aad2f0e8b0f0 |
|
VISUAL
wHash
|
0210ffff7c3c3c08 |
|
VISUAL
colorHash
|
38007000040 |
|
VISUAL
cropResistant
|
96f6aad2f0e8b0f0 |
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 1119 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.