Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F983C730DB189B3735A301C5B166AF977350818992265BB573F94398DBC7CB6CB323A8 |
|
CONTENT
ssdeep
|
768:hP/+52RMsqkrjAzhuz57npCKc0CKtjRHlHk0CKV0CK4cbznMCq0CIZzCXlTNL7L/:hP7jRHlHrIZVd1zSvQQyrO9ASHqo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc3839c6d6336396 |
|
VISUAL
aHash
|
981818007e383c3c |
|
VISUAL
dHash
|
303032f0f0f0f0d4 |
|
VISUAL
wHash
|
9f1818787e383c7c |
|
VISUAL
colorHash
|
38402001040 |
|
VISUAL
cropResistant
|
9795858d8c8e8696,303032f0f0f0f0d4 |
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 476 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.