Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17944C55B330C562DA83747C0EA123666519BF3DBC241D1DCB7FA8C31AA43CB9A516EE4 |
|
CONTENT
ssdeep
|
1536:g7oQov6/TmNjiYSVZEr3Kg/QbFSNdpgFMH2v/BwZErK8ReWZg/QbxBHoApSHb9Ze:koQ66/TdYSwbfN/gFx3Bi8Rx6IF9n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
97696cb1616c6897 |
|
VISUAL
aHash
|
003e0c203e023e36 |
|
VISUAL
dHash
|
4a6a584858766464 |
|
VISUAL
wHash
|
803e3e2e3e0a3e3e |
|
VISUAL
colorHash
|
38200018000 |
|
VISUAL
cropResistant
|
85b62bcc3369ccca,3675f0dcc83032b6,f8f0f0f0f0c88c86,e8f0e8f0f0ccc4d0,f0dcf0a0d2caa252,4a6a584858766464 |
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 279 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)