Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143F2FF32F11234564533D4D0F4E96F28F987DB36C3A68D04E3ADAA656FCECE06A50768 |
|
CONTENT
ssdeep
|
768:TgvnEEKuTZ/Hqm8w1FrR+BYxsN3IMKlDZle40vwUVKT1YD5LfVz5LfVToLfVAtLn:Mvn9qZw1RoKayUvCYD5LfVz5LfVToLfk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f54a2853275f2f0a |
|
VISUAL
aHash
|
00ff80fe66feee03 |
|
VISUAL
dHash
|
1696324ccc8a8a16 |
|
VISUAL
wHash
|
00ff806c6efe00bf |
|
VISUAL
colorHash
|
07400000c00 |
|
VISUAL
cropResistant
|
1696324ccc8a8a16 |
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 912 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)