Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F82E04CA518962B022363C9837C7AF4912777CDDBC84491B3DE75A64486EFF78B890E |
|
CONTENT
ssdeep
|
384:cRe/Ns36ReRHRURlRyRLRoRKAdzB3hIHVLgY2eLw:3W3tAdzB3herLw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3839925278dcf64 |
|
VISUAL
aHash
|
7fe7ffe7c366ffff |
|
VISUAL
dHash
|
c84ce84c4dcc3213 |
|
VISUAL
wHash
|
7e64ff26817e1881 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
c84ce84c4dcc3213 |
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.