Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C47308A83919F5161AB3436710DF24037378122B580D4D60B254FD9EB6FCC9AB16BFE9 |
|
CONTENT
ssdeep
|
1536:IahlUuRNka2wblHbJLwLIz9GguGOjjRnK:IaprX2wd9W/guGO4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99996666993366cc |
|
VISUAL
aHash
|
0000241818240000 |
|
VISUAL
dHash
|
000008b2b24c0c00 |
|
VISUAL
wHash
|
0f0f271bd8c0c0fc |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
000008b2b24c0c00 |
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 11 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.