Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171B2B831A1506E3B4293D3DEB371272E92E3430EDA47061966FE83AD0BE3D44DE27959 |
|
CONTENT
ssdeep
|
384:cE6BedIRaMExYtVYKVsmgIXDgYl5wosmPCrMl0fyIYsOy2+y9BH4cUUIe:b6Bk277zgqImPCrPq7sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d243dd3a9839b989 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
98ccc8c8cd8d8300 |
|
VISUAL
wHash
|
0c7c30206445ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,98ccccc8c8cd8d83 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)