Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123831D20E0C505BB02B786C4F1667F2A71FAF75FA54AC1454AF88AB29FC3CA9F404974 |
|
CONTENT
ssdeep
|
1536:IIZR+f14dVHotrCneypeyuey/SumNrDOh+BvcNCVZdj:IIZRFdVAWHl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2892578b3a96c1f |
|
VISUAL
aHash
|
00003cffcec00000 |
|
VISUAL
dHash
|
03a0f1d91815a2d4 |
|
VISUAL
wHash
|
01183cffffc4702c |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
03a0f1d91815a2d4 |
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 71 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.