Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17FD110B29058A93757A3C3EDB7B2A30FB791C585C987164A91F5D31D1FD3EA0CC12251 |
|
CONTENT
ssdeep
|
96:igmHUnoGyPs44mGjZzm/K4yYeywq0w2mzClPhUbTuGWVBrGobu9DcxpZtO:iganFbOIPpgTBrdW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fe7e5ca161616984 |
|
VISUAL
aHash
|
809c8080ffffffff |
|
VISUAL
dHash
|
1b38340320202024 |
|
VISUAL
wHash
|
80808080cfcfcfc7 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
1b38340320202024 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)