Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15834B430E220311D5363D38A75E2CF8ED273E948D727A66CEE90A12F53DDC650D62AD9 |
|
CONTENT
ssdeep
|
1536:j3TAZF1ZghITfRkCW/fQCTCtdCDCynC642tCPWhJCTTtZCpzM/CLrc3CpEjHC1OZ:bkBLt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2255511e70ec9cf |
|
VISUAL
aHash
|
62c2f9f4e77c8efc |
|
VISUAL
dHash
|
ce1463a44cd85c8c |
|
VISUAL
wHash
|
20c2f946e56c8eee |
|
VISUAL
colorHash
|
07011000001 |
|
VISUAL
cropResistant
|
ce1463a44cd85c8c |
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 694 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.