Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12464736C300215AF51B3C5D0B4A1BF57A0E1F30BDE6EE606A5ED22151FCBD32AAE1674 |
|
CONTENT
ssdeep
|
3072:2ZKHf0H1kzRKislmdikIXJhUZL8Rn7+8Epbj:6no8Epbj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
898d667689ab8cdc |
|
VISUAL
aHash
|
b700191918180001 |
|
VISUAL
dHash
|
4d33b333323059d9 |
|
VISUAL
wHash
|
ffd81b1d1c181d0d |
|
VISUAL
colorHash
|
30000001c00 |
|
VISUAL
cropResistant
|
4d33b333323059d9 |
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 64 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.