Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3E364B596A77863776F87A1F1E9F40D31A8420B65C4186C11BC6B8DF29DC7F3821A0B |
|
CONTENT
ssdeep
|
1536:OriXBZBoisWIqmnlH2WDbCSIc7vwF/OQA:6cxdA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c4951b473b3c643b |
|
VISUAL
aHash
|
7e7e7e6666720000 |
|
VISUAL
dHash
|
dee4868ecec6c4b0 |
|
VISUAL
wHash
|
7e7e7e7676720000 |
|
VISUAL
colorHash
|
1b000000006 |
|
VISUAL
cropResistant
|
000816660707270f,a6ceae3336278888,339ea6a63368c487,dee4868ecec6c4b0 |
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 428 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.
Pages with identical visual appearance (based on perceptual hash)