Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0720A6AF21613706D8743DAFF65A3DFA30200D9C2266BCD96A6830DB1DC9EF8521CC1 |
|
CONTENT
ssdeep
|
192:Qo9oBOJ57945xnfGXsJXVBT1DspssZxurhG+wKmrku9cuGRmKbMpBXp7sfgg8gk:QMoU2fVJXpwpsmx+bsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f72a552a552a55aa |
|
VISUAL
aHash
|
0081c7e7e7e7e7fe |
|
VISUAL
dHash
|
590b0d0dcc4d4d0e |
|
VISUAL
wHash
|
0000c3c3e7e7c7fe |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
590b0d0dcc4d4d0e |
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 491 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