Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AF2451C55088303B84F2FBC8A7D96B6839C1E06AE406CC5557B98D5D42D7CC3BAAB4BD |
|
CONTENT
ssdeep
|
1536:luOhzhH1seYPXZlgjQGsTC3Zr+kL/LYMeBV3VveQNo7YIyqloAGCeeneeteereeR:MOhK8tUc7Q2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1251d1f1f071765 |
|
VISUAL
aHash
|
00c3c3efffffffff |
|
VISUAL
dHash
|
fa168e0816343416 |
|
VISUAL
wHash
|
00c1c3c3c3dbdfc3 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
f0168e0816343416,20d1d0c0d0d0d2d0,0000103030100800 |
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 5 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)
Found 10 other scans for this domain