Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146C331319842A926817BA2C1A0326B0D12E3E34DDE130549E7FDD7BA17CFD76E835899 |
|
CONTENT
ssdeep
|
1536:kws2RGIIcWWhhCCWBi6KMYrHd/1ZavmttV/Ayffzg7LVDJLg/3KtfTlsNSiNqecW:nPTWXNCh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc43fd1847b8471a |
|
VISUAL
aHash
|
0000000000dfffff |
|
VISUAL
dHash
|
d0c2cdedce3d3036 |
|
VISUAL
wHash
|
0060370400ffffff |
|
VISUAL
colorHash
|
32000c00040 |
|
VISUAL
cropResistant
|
32383f3730361616,90d0c1ccedecfedd,72e2e8c8f0f0f1f0 |
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 83 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.