Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18F04D61662F262AA449FB9A0E837BFD1613B633F778147C8715C87A0066586DD237CBC |
|
CONTENT
ssdeep
|
3072:PRggjPihMlIt8ffxO3iLHVHmWlbeCMKKkWV7:llGY1xb7MrzV7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c141453cbcbc974f |
|
VISUAL
aHash
|
000000ffffffffff |
|
VISUAL
dHash
|
a6cbcb10f2101132 |
|
VISUAL
wHash
|
0000000fffcfdffe |
|
VISUAL
colorHash
|
0f002000003 |
|
VISUAL
cropResistant
|
0592b2326121391c,cbdb10f210103032,26a6949bcbc9ebcb |
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 8781 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