Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T137134CF2526471A0C21BCFF6E5A3BA3631E720FCAB5F885086FA57645195BECDF48081 |
|
CONTENT
ssdeep
|
768:Nx8wgoghHNt810AoLofssT4m0HtG0O2YeGydTt4adHxT+Q+BzA7eEI/kOXJBCGl7:Nx8wgoghHNt81RoLofssT4m0HtG0O2YB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6d92926c64929b |
|
VISUAL
aHash
|
ffcbd3d3d3efe7ff |
|
VISUAL
dHash
|
a812161616090c10 |
|
VISUAL
wHash
|
3f03d3c303072333 |
|
VISUAL
colorHash
|
07007000400 |
|
VISUAL
cropResistant
|
a812161616090c10 |
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 20832 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)