Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CCF2B87452091F3EA60746E4F5A4F77A71AED349D60FD408A5BC02A36BCACD8C8376E4 |
|
CONTENT
ssdeep
|
768:/pu6BLxdzTxuiTOCv4kail7qcPSeGN80rw7TpuV:/RzTxu2vV57TE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c19c363ce38cc1bd |
|
VISUAL
aHash
|
02007f7f6000006c |
|
VISUAL
dHash
|
d43cd2c3cac430c8 |
|
VISUAL
wHash
|
061e7f7f730000fe |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
754a45d4392a19d9,34e5e552d598b095,d43cd2c3cac430c8 |
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.