Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CBB3F8E17D0AB636513741C6D07B2229237A61EAD0485031B3B8E67A6DFCDCFB05BD86 |
|
CONTENT
ssdeep
|
1536:9q2AmtoaHhTDUXM+noXoDoHoroiobefoKoboYofofoJoKo2onekebePeOqoc7I6j:dN0BFhj3ziJK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3196d6456171d6 |
|
VISUAL
aHash
|
ee9f8181ffd7d7d7 |
|
VISUAL
dHash
|
4e361b13272b2727 |
|
VISUAL
wHash
|
868f8381d1d3d3d3 |
|
VISUAL
colorHash
|
07000018049 |
|
VISUAL
cropResistant
|
4e361b13272b2727 |
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 254 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.
Found 3 other scans for this domain