Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T152321FF0952AAE3B51B3C0C5B6A6AB1732D0924DC38F135047F963B94AD6C71FE52294 |
|
CONTENT
ssdeep
|
192:Q+jmg4P1/aGTdAv7AdfdDq2mRgF5tU49CCtm1V1Ygq5U:NtvwAzAL2TeF5o4mnNqC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
996633cc66996666 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
103032323032320c |
|
VISUAL
wHash
|
18181c1c1c1c1c1c |
|
VISUAL
colorHash
|
380010001c0 |
|
VISUAL
cropResistant
|
103032323032320c |
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 27 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.