Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D1A2A4BF5104675D0713E1D9BF1532ACE743806E96FE4A61B1EE420F7282FB5C86628B |
|
CONTENT
ssdeep
|
384:7rHnDk9TnJL6CKEUVUrOuFbW4buruJQIB:PnA9TwCKJSBGGJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f4aa54aa55aad6a8 |
|
VISUAL
aHash
|
ffe3ffc3c3c7c3d2 |
|
VISUAL
dHash
|
2846448e8e8e9794 |
|
VISUAL
wHash
|
00003c00c3c3c3c0 |
|
VISUAL
colorHash
|
07003000006 |
|
VISUAL
cropResistant
|
2846448e8e8e9794 |
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 49 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)