Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D1621A7DB22422B1CA4343D6FE7623F6A703906D9B225B9CD758824873D89FD8821EC5 |
|
CONTENT
ssdeep
|
384:Q8oux4HMItmKqWNWAaBwVQsmMpBZ7eg/B:7oc4HDj7aBwVRm4/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9a8456bc58a76b2 |
|
VISUAL
aHash
|
f9cf8fdfcf81c3e6 |
|
VISUAL
dHash
|
63ba3cb0190b0f0a |
|
VISUAL
wHash
|
f9df87dfcf008100 |
|
VISUAL
colorHash
|
07007000400 |
|
VISUAL
cropResistant
|
63ba3cb0190b0f0a |
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 487 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