Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FFA29E31B600106B13B7D5C0E262BF5F72D6F30F85098562AABC919A2FC3CB67761566 |
|
CONTENT
ssdeep
|
384:vgTQbPkF2FDFVFGFjFTFAyM7AtwvRLuV7J14:vwniZvS5JAyMX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a666663399999999 |
|
VISUAL
aHash
|
c3c3ffffefe7ffff |
|
VISUAL
dHash
|
0f0e160c0c0c0c0c |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07001000080 |
|
VISUAL
cropResistant
|
0f0e160c0c0c0c0c,b1b0b3b3b3b280d2,8ed6deccd6d6d2a0 |
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 23 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.