Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F21118171011490A87136DE87DD1C544209BC30CCE971D1463FB8ADD2FF6D46DF1B998 |
|
CONTENT
ssdeep
|
24:hRxr/tYC/YgfsRE0wRWNYuILqRk2Ns0JDzIUja:Txr/trDruIR2Nrja |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
843da8d6c2daccf1 |
|
VISUAL
aHash
|
df03120066324677 |
|
VISUAL
dHash
|
b626b6b0cce68cd5 |
|
VISUAL
wHash
|
df0302706e326777 |
|
VISUAL
colorHash
|
31601000001 |
|
VISUAL
cropResistant
|
b626b6b0cce68cd5 |
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 26 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.