Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17CF207F00201625E016745ACFB32B3AAE31FD36CF957CC89B9BD026262C7DA1D993364 |
|
CONTENT
ssdeep
|
768:hgsciNb8BHSAOOfI62f6gJeE8kHh856gJ+:hge87I6v5EZ7v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
90f064679c976765 |
|
VISUAL
aHash
|
024c7c5e5c743c1e |
|
VISUAL
dHash
|
f490d0d8d0cce4b4 |
|
VISUAL
wHash
|
024c7c5e7c6c7c1e |
|
VISUAL
colorHash
|
38c00000040 |
|
VISUAL
cropResistant
|
f490d0d8d0cce4b4 |
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 251692 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)