Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14BE229B4A230D335B1C24BE8DA6425287A5FE1DCD7C695B4F388AF51B0D6CE8D9160CB |
|
CONTENT
ssdeep
|
384:Y7fUteguueT75RhiXkdvNTDhPhLxeAxeDWNW1Tp34PxeeJEmuW3As+URW2Md:Y7fUteguJhhPhleMeDGCSPxeeWmHXW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c43337bc4ac72939 |
|
VISUAL
aHash
|
80466070f0de7e20 |
|
VISUAL
dHash
|
7c9ccae1a3a4ecc1 |
|
VISUAL
wHash
|
80466e70f8de7f60 |
|
VISUAL
colorHash
|
30001000038 |
|
VISUAL
cropResistant
|
7c9ccae1a3a4ecc1 |
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 208 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)