Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15BC42B70A0106C3B01DB83D4F6B46707B3E4D349E90A45A29FE8DF982FD6E60EE1A55D |
|
CONTENT
ssdeep
|
6144:ymleMwV29FpGdyZy+Vg/8ggw5Zu9pf1VB1A04yu5M:ymleMwV29FAdyZy+Vg/8ggG2f1pEK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c5c83e7336661963 |
|
VISUAL
aHash
|
387e787e7e7e6206 |
|
VISUAL
dHash
|
f0f0f0f0c4d4cccc |
|
VISUAL
wHash
|
187e7a786e6e6206 |
|
VISUAL
colorHash
|
30400038000 |
|
VISUAL
cropResistant
|
968ecc17862f13b6,f0f0f0f0c4d4cccc |
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 1055 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 1 other scan for this domain