Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17AC309E6538022358003E4B75CDADE9D736E9519530DE8924B4CC6E319D89A88B7FFCE |
|
CONTENT
ssdeep
|
3072:XclpOh6ilyyIvmmmorE5IhY0AKwduTCsnDp:+NTmmmorr4dEd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2056a2dfa9f9515 |
|
VISUAL
aHash
|
000000ffffffffff |
|
VISUAL
dHash
|
8389e041c4c0c049 |
|
VISUAL
wHash
|
000000bdfffffe0d |
|
VISUAL
colorHash
|
07001400080 |
|
VISUAL
cropResistant
|
d069c8c0c0c40149,60032390c803c4d0 |
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 1939 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)