Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17551C074A1101233473388F560B167176EF7F34ED9ABA48062BAD2F90FC7DA6A503D82 |
|
CONTENT
ssdeep
|
48:uYf5l2mara7WSGsifd9vZ1mxXBP40BlnmwEXZEz4CBsxW:BfyhDvZoPLDnmrXZEoxW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce643199cec6ce4c |
|
VISUAL
aHash
|
0000383c38380000 |
|
VISUAL
dHash
|
0862656561616418 |
|
VISUAL
wHash
|
00003c3c3c3c000c |
|
VISUAL
colorHash
|
00000000007 |
|
VISUAL
cropResistant
|
71f1b9f9e1e969a1,0862656561616418 |
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 16 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.