Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167C140B04510293701274AC5FCA6571DA1DBCA1DCFA7094627ECD3EE5FC3C99AC12A9E |
|
CONTENT
ssdeep
|
96:rTYvOeO1k4OjSJH+9+Vb4MzNeDqVxmc5avmNb/9cHPTj6gV/Kinu:fYvOeOG1j++9yV5cHbj1/Kwu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3b1b52464545c6 |
|
VISUAL
aHash
|
008183fbffffffff |
|
VISUAL
dHash
|
793b1b1345000000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
0601b000000 |
|
VISUAL
cropResistant
|
0200020200020282,3b3b131388020000,6969861b1b1b2b6b |
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 44 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 2 other scans for this domain