Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C05188B291446D3F8351C3C873A5F32AA6814147EECA211698E693DC16F6F52EC1718E |
|
CONTENT
ssdeep
|
48:TcxmbJdEc5N5w6IgA1FoxJgYc8uEUQ9u4JRWKAiCxdVpo5Ns9hp401nr:T6QehQ9uAw3XdVponUhpv1r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c4d9663b2499e65 |
|
VISUAL
aHash
|
98181818000000ff |
|
VISUAL
dHash
|
31b032320c20926d |
|
VISUAL
wHash
|
ff181818000004ff |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
31b032320c20926d |
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 4 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