Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19D336361A183A87B513386D0A1B76B1D70C2724DDF034EA2E7FC53BE97CDD6678240A9 |
|
CONTENT
ssdeep
|
1536:RgY0UMopEzqedcFZklCHOaBynCY6JzPa6g04pfRDQNzNTYOq9eHKQZPBPpEzqedI:qIMXOCD7y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d252bcee64aa898b |
|
VISUAL
aHash
|
ff00000000ffffff |
|
VISUAL
dHash
|
358cd8d8c8833a3e |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
1b208030000 |
|
VISUAL
cropResistant
|
0063612929510094,480b1bc4383fa6ba,948cd8d8d868c8c0 |
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 65 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.