Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13F12B932E3055C2F70B34996F000BB6E6058B35BDA151F24F3B41137E6C7EA79A16BA9 |
|
CONTENT
ssdeep
|
96:TG7VZq3A3DfKd//Xhww66J9GO66lliL+50EjIRiLhUscLtpwVdgSHg9ST5xgD42z:apZq3wKd3LpHjjjPhYugyhdromq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec94936b9996c691 |
|
VISUAL
aHash
|
fff3f3f3c1f1f1ff |
|
VISUAL
dHash
|
c327272723272750 |
|
VISUAL
wHash
|
71c1d1f181d1f1a7 |
|
VISUAL
colorHash
|
07c01000000 |
|
VISUAL
cropResistant
|
c327272723272750,37581bb7c5c56479 |
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 12 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