Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D6F2FF30E886AD335093D1C5AFB69B1B76E0F306C647470597F9C3AC6BDAD9AEC06148 |
|
CONTENT
ssdeep
|
384:VJ1U8v9NxRx5T90Mq/c2P355eiDJTvk2cGamUXhdH:+8v9NxRbyc2P355eiDZvk2cGamUXhdH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cccccc313333 |
|
VISUAL
aHash
|
cfe7c7c7ffefe7e7 |
|
VISUAL
dHash
|
104d0d0c10180c0c |
|
VISUAL
wHash
|
0303070303030303 |
|
VISUAL
colorHash
|
070000080c0 |
|
VISUAL
cropResistant
|
104d0d0c10180c0c |
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 14865 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)