Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C982297BE21513755A8A83DAFF2573DEA32340D9C6256FCC9266820DF19D8EF8819CC1 |
|
CONTENT
ssdeep
|
384:QpoAOClKNWBF4jEc5tSh9UxdsmMpBZ7eg/B:WowlK24jLQ9Ukm4/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
952a552a55aad5ab |
|
VISUAL
aHash
|
03017f7f3f7f7f3e |
|
VISUAL
dHash
|
3735f8c9cbcbc1da |
|
VISUAL
wHash
|
03010f253f377f1e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
3735f8c9cbcbc1da |
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 489 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