Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F855167AEC0C5A09707675CDE3DC0D8FE995F357E72218E696C5CF31818A818B82A97C |
|
CONTENT
ssdeep
|
3072:5kfbo8chNQDu0q7hNQlu08hNQ5u0aSiXh:5kfs8Gf7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eb3413cb96146b36 |
|
VISUAL
aHash
|
000000fffff9ffff |
|
VISUAL
dHash
|
390787042b2b2f0c |
|
VISUAL
wHash
|
00000081fff9ffff |
|
VISUAL
colorHash
|
06038000000 |
|
VISUAL
cropResistant
|
47282b2b2b2c0d0c,7a290d1687870686 |
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 84 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)