Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1C34C74364678669DBB47E370BB13177179521FC40E8820B354E8AABF9CCE99063F98 |
|
CONTENT
ssdeep
|
1536:sph47P6TzQ/xuSGxKejFCrJLJuJXJTJQSJUhJ5VuijtgyVYsJd0+udbdodfd5dih:sHIPyXjUMAL98n0dnE4s |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c9436b636b496b4 |
|
VISUAL
aHash
|
16181818183c0018 |
|
VISUAL
dHash
|
bc73707050502070 |
|
VISUAL
wHash
|
5e3c3c3c3c3c383c |
|
VISUAL
colorHash
|
38006000040 |
|
VISUAL
cropResistant
|
bc73707050502070 |
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 211 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)