Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11E330E60A1B2623510BF319BF2217B51E2B7C7039B9167F21EF5C6090BE2E56BD1F648 |
|
CONTENT
ssdeep
|
768:KrR3gd2tLRE0KRMco7eBRH3pvPlpmzaQd2G:Kmd2ZFKRzueBRH3pvPlpmzDJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
80137f4f47027779 |
|
VISUAL
aHash
|
00ff7f7f7f3f7f7f |
|
VISUAL
dHash
|
4cb0b0e0c0e0e0d0 |
|
VISUAL
wHash
|
000f1f7f3f1f1f00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
7090f0c0c0e0e0d0,0020444d4d4c4020 |
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 11 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