Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DD82F826F2252374598743DAFF1722EDB22340DAC2167F9CD679820DE4998EF8925CC5 |
|
CONTENT
ssdeep
|
384:QaoA1qwbIsnqb8u6sVoA2Z+E92tb0f/smMpBZ7eg/B:ToSnbIKsVaN9sfm4/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
952a552a55aad5ab |
|
VISUAL
aHash
|
03017fff077f7f7e |
|
VISUAL
dHash
|
8f83d9816fc8c1c2 |
|
VISUAL
wHash
|
03010fff010f3f7e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
8f83d9816fc8c1c2 |
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 489 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)