Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15C525233A600DC6D8D9BA18CF1C09589915ED345FB3248C6B1A491BF7BC8DF168B93AD |
|
CONTENT
ssdeep
|
192:CX3J0Ycbc8czySw9dt5hbZI6Y/93xYLMcnthWeNWbZfMmUU8VCoh:+cbc8czyL5hbZI6Y7fMmUFCoh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4649b9b64649a9b |
|
VISUAL
aHash
|
f3e3e3e3f3ffffff |
|
VISUAL
dHash
|
2626262606000600 |
|
VISUAL
wHash
|
c0c0c0c0c0fcfdfc |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
2626262606000600,fcb3f8f8fcffffff |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)