Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138E229B4A230D335B1C24BD8DA6425287A5FE1DDD7C695B0F388AF51B0D6CE8D9260CB |
|
CONTENT
ssdeep
|
384:Y7fUWeguvTFRhiXkdvNTDhPhLxeAxeDWNW1Tp34PxeeJEmuW3AsK7t0RWT4Md:Y7fUWegufhhPhleMeDGCSPxeeWmH7W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0303f9f4fbc6849 |
|
VISUAL
aHash
|
8066e2e070fe7f20 |
|
VISUAL
dHash
|
7cdc8aabcbccecc1 |
|
VISUAL
wHash
|
8066e66078fe7f60 |
|
VISUAL
colorHash
|
30000000030 |
|
VISUAL
cropResistant
|
7cdc8aabcbccecc1 |
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 68 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)