Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19A3354F1E25CBF3F51A382D2D775532A32DA819AEA0B130996FC43B887DEE54EC12154 |
|
CONTENT
ssdeep
|
1536:VkjcIlwqqPh8naWxRJIlwqqPh8naWxRUrLLhwAdR:ORRdR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3434bbb3939b80e |
|
VISUAL
aHash
|
ff000000ffff3c00 |
|
VISUAL
dHash
|
2bc8c5c020006970 |
|
VISUAL
wHash
|
ff000000ffffff00 |
|
VISUAL
colorHash
|
3a0000001c0 |
|
VISUAL
cropResistant
|
042bcb2b2b2b8b04,929240068e060620,98c9c5c42ad0d020,0000547161323030 |
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 38 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.