Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9F2A87052091F3EA60746E4F564F77A72EAD349D60FD408A5BC02A36BCACD8C8776E4 |
|
CONTENT
ssdeep
|
768:/puyBLxbO/TxpTOCv4kail7qcPSeGN88mw7Upu5:/pO/TxrvVg7UG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c19c363ce78cc19d |
|
VISUAL
aHash
|
06007b7b6000006c |
|
VISUAL
dHash
|
dc6cd2c2c6c232c8 |
|
VISUAL
wHash
|
063e7f7f7e00006e |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
756bd4d4392a19d9,36b5e552d598b095,dc6cd2c2c6c232c8 |
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.