Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1087343B144C5983B0393A6C4B370EB5FE2B3824ECE125A89F3F9534D9BD6D91CD62168 |
|
CONTENT
ssdeep
|
1536:w8B8y2GyyN0AEjlQ7O0CMDD+Z7fDCMIyLQ7JXQt+Yk2kNS:w8B8y2GyyN0vj5STYRCS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c29edc30cf33a15 |
|
VISUAL
aHash
|
fb300000007fffdf |
|
VISUAL
dHash
|
72f6383872f80032 |
|
VISUAL
wHash
|
fb380000007fffdf |
|
VISUAL
colorHash
|
070000082c0 |
|
VISUAL
cropResistant
|
72f6383872f80032,dadb5457eae88a4e |
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 654 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.