Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13F242A693641B62317EA82DB506B8043F339555A280E093CB66CDCDA757898A71FFFF0 |
|
CONTENT
ssdeep
|
6144:n0r+ouGORhg+rxwRkADhoz/dasuPyHDymwJJd3+GRhLfcKQCdgdonTeET29MjRnZ:ABJ+rmRnyHDymwJJd3+GRhLfcKQCdgdq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3585c7266587866 |
|
VISUAL
aHash
|
00ffffffe7efffff |
|
VISUAL
dHash
|
090858104d4c1800 |
|
VISUAL
wHash
|
0088c8c8c3c3c3fb |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0858104c4d580c00,c0202021212120c0 |
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 25 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.
Found 3 other scans for this domain