Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12E122FA49A68412173A7CB6DB0A4A7ECB367604FC733A050F2D85B8583C6FF9CE59605 |
|
CONTENT
ssdeep
|
96:GQrCSdljB46he9lCdy+JuVlfK7cfQkqcv33MgRj+xGrcUQOFEcyMZ8TVm2MAzU4Y:zr1B4+LwWi3lj+Mocfk7y7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
acc533c32c3ec33a |
|
VISUAL
aHash
|
fffb939393ff8181 |
|
VISUAL
dHash
|
0f32233636093b3b |
|
VISUAL
wHash
|
a793919393ff8181 |
|
VISUAL
colorHash
|
07000180010 |
|
VISUAL
cropResistant
|
0f32233636093b3b |
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 1470 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