Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10483957193550A3F521B09D870B02B1B31EBD34DEA179818A3FC43976BD7CA1CC96EA9 |
|
CONTENT
ssdeep
|
1536:14S4Am1i7W4DBFEpzWqiIKsUKEKLKumKPNKwKE4ZKSey0nUVOMKJK1AKfoaRKrK5:1ZYZiIKsUKEKLKumKPNKwKE4ZKSey0nE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dd56765789892323 |
|
VISUAL
aHash
|
0000183c3c180000 |
|
VISUAL
dHash
|
746c713233704ca1 |
|
VISUAL
wHash
|
081c1c3c3c383fff |
|
VISUAL
colorHash
|
07000006000 |
|
VISUAL
cropResistant
|
e688a2ba90b2b2c0,746c713233704ca1 |
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 6 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.