Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A643746022263B3E631706F4A1A677B970D9F309D64BD508D2FC11B36BCAC85A9637E4 |
|
CONTENT
ssdeep
|
768:Jc1a2qTNuc1RSsxHtuRI5owWO88jgfmeTKvmmvYmeCBczwHUM:8a2qTNuPJaq0tww0M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ab66f0948b1d9bc4 |
|
VISUAL
aHash
|
ffc18119ff83c3fd |
|
VISUAL
dHash
|
480f0b7bab3f0773 |
|
VISUAL
wHash
|
ff818101fb8781bd |
|
VISUAL
colorHash
|
07040003002 |
|
VISUAL
cropResistant
|
480f0b7bab3f0773 |
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 419 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.