Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154635361A183A8770173C3D0E2776F1E71D5A20CCA130A66E7FC836D5BEED65EC2A194 |
|
CONTENT
ssdeep
|
1536:9SUB44xJopEzqedcFZklCHOaBynCY6JzPa6g04pfRDQNzNTYOq9eHKQZPBPpEzqP:HJsyuZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed399266c6926c39 |
|
VISUAL
aHash
|
fffb899191f1ffff |
|
VISUAL
dHash
|
2432333323230376 |
|
VISUAL
wHash
|
02bb819191f0f9fe |
|
VISUAL
colorHash
|
07010000480 |
|
VISUAL
cropResistant
|
2432333323230376 |
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 48 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.