Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B5723D7EB2283370464343E6EF5122F9B32351BDD7115B9CD6788208B3959ED8672DC6 |
|
CONTENT
ssdeep
|
192:QoloB6CJ54t94lnSmA0wF79nQc1xkd6mRasc5Dku9cuGRmKbMpBXp7sfgg8gk:Q6oC0SD0MJQc1adLa55wsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
852a552a55abd5ea |
|
VISUAL
aHash
|
03033f7f7f3f7f7e |
|
VISUAL
dHash
|
13d3c7c787f9d9c2 |
|
VISUAL
wHash
|
030701477f153f7e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
13d3c7c787f9d9c2 |
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 485 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.