Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B114956163180A3DD527C3D8EAF6B335526E8288E35E691CF86C03765287D86FC379D8 |
|
CONTENT
ssdeep
|
1536:W5yDS1p0La96gily19ML/6NQ9KMCxKx9MbJa9+9P8KhaB92Oa7Ql9TGejIB92eAy:UatLwrl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93359f9424d73135 |
|
VISUAL
aHash
|
3e3c087e7e3c3c01 |
|
VISUAL
dHash
|
daf1dac8d4e86969 |
|
VISUAL
wHash
|
0e3c487e7e7c3c09 |
|
VISUAL
colorHash
|
38000000e00 |
|
VISUAL
cropResistant
|
daf1dac8d4e86969 |
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 212 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.