Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B2274301055683F22838DF8F2E1B76DD1A7D72AC5579D2C72ED42A2AFD6D90C856328 |
|
CONTENT
ssdeep
|
192:sAGkZuQvytdK5xMnsidpXidpk91nL3IAHNRroIV:s1kZuQ6PK5CF6q3IAHNRUIV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e7958862a226b5dd |
|
VISUAL
aHash
|
fffff2200000e0ff |
|
VISUAL
dHash
|
ad8a4a4ccc4c4d91 |
|
VISUAL
wHash
|
ffffe2200000e0ff |
|
VISUAL
colorHash
|
06402000040 |
|
VISUAL
cropResistant
|
ad8a4a4ccc4c4d91,76067c393179515b |
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 12 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