Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1465264F8005A03FF61C783F1B675AB5FE18AD345DA6BE255A2ED83949ECBC40DC80168 |
|
CONTENT
ssdeep
|
96:qCIfR58AqxaHpdGHAo3Avtjy8V2CW+v6sSmnohFkI3f585oq99oiA0n5dpemB28w:UMaHpE/YSmuHgxfkSfDOcLhJUqsNvF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8961f23ec8cd6693 |
|
VISUAL
aHash
|
ff00201818001bff |
|
VISUAL
dHash
|
32d7c3f3f367f708 |
|
VISUAL
wHash
|
ff01611919011fff |
|
VISUAL
colorHash
|
06c00000000 |
|
VISUAL
cropResistant
|
cea6928e80969696,32d7c3f3f367f708 |
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 8 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