Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174D20112A595837A10D72CECBBB0FAAE10E18B40DE925DDF612722F91FF7D5690270C9 |
|
CONTENT
ssdeep
|
768:ITSCt3KK99+i6wmd8J/g8bSDhOhhhJFhhdHhhhnhhN+hh3khh/Rhh9PhhW+PkjPH:699+EmapTbSDhOhhhJFhhdHhhhnhhN+d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2da65d5a545da4c |
|
VISUAL
aHash
|
78c87c7f3f3c0061 |
|
VISUAL
dHash
|
d019e9e9e869a6c6 |
|
VISUAL
wHash
|
7cc07c7f3f3c00e0 |
|
VISUAL
colorHash
|
07006000080 |
|
VISUAL
cropResistant
|
d019e9e9e869a6c6,39f999c8d8d9c846,3a4b71110981e070 |
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 41 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