Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T165541AF8935853F196878BD4F9710A16339611EEEB924B48C3A48AE0FFE2DC9D435C61 |
|
CONTENT
ssdeep
|
6144:rEbzitMHTIsdM8QhRvLAhTnTYmkHj1P09UaxOeqTu27hC+ilKc9OMqIEScQJx7j6:rEbzitMHTIsdM8QhRvLAhTnTYmkHj1PX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cee131ce8a29cf31 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
a8c4e86969696904 |
|
VISUAL
wHash
|
007e7e7f7fbc0400 |
|
VISUAL
colorHash
|
39001000c00 |
|
VISUAL
cropResistant
|
8d9983e6a6a686a6,a8c4e86969696904 |
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 533 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 2 other scans for this domain