Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DC945633E154DA3B1D9390CDE5844A99269A9306FF330649B7E4B2BF76CADE46C1138C |
|
CONTENT
ssdeep
|
12288:opngJZA3/RVvKl2BeLYiDYX77Vf17HfALE:c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
de7882208301ffdf |
|
VISUAL
aHash
|
08c0c00000003c7e |
|
VISUAL
dHash
|
b00000800000e8f0 |
|
VISUAL
wHash
|
58c0c0e00000ffff |
|
VISUAL
colorHash
|
38000000000 |
|
VISUAL
cropResistant
|
b00000800000e8f0 |
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 494 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)