Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3C200F0E186DD3741A3D2D5A3B55B2B76E1C346CE8B030687F993A84BEAC91FE12144 |
|
CONTENT
ssdeep
|
384:bqj/JI2MGoZNcBXLnEpioPETZcKCGIq2goTU7PF/xmkVigYfC+0:W/JVBGNcBXjwiDFcKCGIXkogYfCv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
996c6633cccc6666 |
|
VISUAL
aHash
|
0000181818080000 |
|
VISUAL
dHash
|
144c32b2b2301030 |
|
VISUAL
wHash
|
04041c1c1c1c0c1c |
|
VISUAL
colorHash
|
07000008006 |
|
VISUAL
cropResistant
|
144c32b2b2301030,3479296962690009 |
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 23 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)