Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CCF20E70B054993B169382D6B2312F0BB7C093C6CA270A5497F9A7AD6FCBDE1CE12355 |
|
CONTENT
ssdeep
|
384:hdx1DcwECwq9X0Us1/1PNyhfkd86IbZNZ6n1L2uF:hdkbq9X0Us11NAMd6bZv61L3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b838c7c78e0ec363 |
|
VISUAL
aHash
|
dfcfc38bdfffffff |
|
VISUAL
dHash
|
b1b6963333842a0c |
|
VISUAL
wHash
|
1cc3c18189c3efe7 |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
b1b6963333842a0c,2627262c3716ee26 |
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 30 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.