Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12FD36270E47C993B526787DAB1B6AB2A30E5C38CCE83024452FD43B90BE6CE5FD16855 |
|
CONTENT
ssdeep
|
1536:WsN/Oruj/OrCWZJZxTUqz32OUziZZHq6irLqiSWktVW3tn:b4P7Qrz8vu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e5a572529e3a31a5 |
|
VISUAL
aHash
|
f873e3b3b2e0c080 |
|
VISUAL
dHash
|
01c24666664a1010 |
|
VISUAL
wHash
|
fff0f383b2e0e080 |
|
VISUAL
colorHash
|
38002000480 |
|
VISUAL
cropResistant
|
01c24666664a1010 |
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 7 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.