Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C08339A83515B5261AB383A720DF11077378131B940E0D707254EDAEB6FC8AAB16BFD9 |
|
CONTENT
ssdeep
|
1536:OZNlUuRNka2wblHbJLwLIz9GguGOjjRnY:GlrX2wd9W/guGO+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d7847d8524fe00fa |
|
VISUAL
aHash
|
b2363e3e3e3eb880 |
|
VISUAL
dHash
|
66666c6c4ccc2022 |
|
VISUAL
wHash
|
b21e3e3e3c3eb880 |
|
VISUAL
colorHash
|
38010000600 |
|
VISUAL
cropResistant
|
66666c6c4ccc2022 |
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 223 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.