Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EB6352B1C596317B02278ED5B4716B4FB2D3C31DDE638A1157FC879D6BEAC90EA0048A |
|
CONTENT
ssdeep
|
1536:hjAouLOm6cVIKEJGvVPO3hukAp+b1hmkbeay:hKfB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd6892d7c68e44aa |
|
VISUAL
aHash
|
f78181c1ff8e8fff |
|
VISUAL
dHash
|
651b3b33263a3813 |
|
VISUAL
wHash
|
f7818181878e8fcf |
|
VISUAL
colorHash
|
07c00008000 |
|
VISUAL
cropResistant
|
651b3b33263a3813,c9333b0e01a97959 |
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 43 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)