Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17EA3937890142937860382C4DA76B75BA2C782DBCE534B05A6E4C33E5BE3C94ED63779 |
|
CONTENT
ssdeep
|
1536:On9u8Ke7ZIA3JsgrKyIGbKzeee3eee3eeeeeeeqgY7KBwDCkghXD1K3uwqP850lU:GKmZdZbKswqhXD1K3uwqP850lXLED |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e0817e159c75e3e1 |
|
VISUAL
aHash
|
426060767e008099 |
|
VISUAL
dHash
|
8ecac4c4ccc40831 |
|
VISUAL
wHash
|
6640767e7f46c099 |
|
VISUAL
colorHash
|
30000c00018 |
|
VISUAL
cropResistant
|
8ecac4c4ccc40831 |
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 21 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.