Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116F474BB408DA8AB2783D1E535692ECA950341DCB95BE9C5B1384D0E79DF873C6CE870 |
|
CONTENT
ssdeep
|
6144:lhyp5zPZthVRBlRR7/selS1999W/g+Kyp5zPZthVRBlRR7/NbAy+NqXjkWZ:l4Uv/Sg+7rOooWZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bab1230f9eace1a1 |
|
VISUAL
aHash
|
8f07e7df99810080 |
|
VISUAL
dHash
|
3f1f8f2b23030301 |
|
VISUAL
wHash
|
8f07e7ff9f810180 |
|
VISUAL
colorHash
|
38000c00040 |
|
VISUAL
cropResistant
|
3f1f8f2b23030301 |
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 1552 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.