Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120418EB59515293B8A0769C438A0D7DD3AE7C32DDE1B0601D7BD0BC90FE7CB1C866465 |
|
CONTENT
ssdeep
|
48:Txhf6Pup0pdrQ0C0m5cmbHpfIHZMtRT22HT2Q:TLsuEdrQ0C0qcGWZSRT22HT2Q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333933333992666 |
|
VISUAL
aHash
|
e7e7e7ffe7e7ffff |
|
VISUAL
dHash
|
4c4c2c324d4c3028 |
|
VISUAL
wHash
|
2424243ce4ecfcfc |
|
VISUAL
colorHash
|
07000608001 |
|
VISUAL
cropResistant
|
4c4c2c324d4c3028 |
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 10 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.