Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A953B672A365063F421B09D970A0670B31E7E35CEE579804A3EC835B6FD7CA0DC9ADA5 |
|
CONTENT
ssdeep
|
1536:7S4AmXxWuDBFEp7WDOW3w4D45As4/WEWOUmvd/E+APaemEI5luBrSdPEAtkC9Td9:58GnyKqQeGt+Q9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dc567256dc8d2323 |
|
VISUAL
aHash
|
0400193c3c180000 |
|
VISUAL
dHash
|
746c733272704720 |
|
VISUAL
wHash
|
0c0c1c3c3838bfff |
|
VISUAL
colorHash
|
07000000641 |
|
VISUAL
cropResistant
|
e68ca2aa803323c4,746c733272704720 |
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 5 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)