Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AF31442620024D7F552368D9B9D1DB89309BC30CCA93650472FEC6AE2FF6C80DD39675 |
|
CONTENT
ssdeep
|
24:hRxr/tYChhgfsRE0wUZS/Wc2f7a3OWNlagXBjK1Kzaz35Uu635U2NMenfWKjuTGG:Txr/twDgbWaT1ki36L362zfW9a7S |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a41d8db2cb724fd0 |
|
VISUAL
aHash
|
7f17022066224773 |
|
VISUAL
dHash
|
ae36a689cc649cd7 |
|
VISUAL
wHash
|
7f1f062066226777 |
|
VISUAL
colorHash
|
13203000000 |
|
VISUAL
cropResistant
|
ae36a689cc649cd7 |
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 26 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