Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D022013070023833623799D0F4924B0E22679335C7861969B7BD5B636FCECE999A17A8 |
|
CONTENT
ssdeep
|
192:UlBbwgSYXm6gQONZjAvErEFZjaLf95LfYRLfNHLfo6LfbYMcfYNqrTzhBeC3hZg:ydWgo6FZjaLf95LfYRLfNHLfo6LfbYrS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f9dd0077a6a2551c |
|
VISUAL
aHash
|
0000ffffff000000 |
|
VISUAL
dHash
|
0910b22951408181 |
|
VISUAL
wHash
|
0098ffffffe04040 |
|
VISUAL
colorHash
|
39000000c40 |
|
VISUAL
cropResistant
|
8080804155555508,0910b22951408181,0000101010101000,0008303232300000 |
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 60 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.
Pages with identical visual appearance (based on perceptual hash)
Found 1 other scan for this domain