Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CEA35933411935274437C6D130A95B3BE2E6995FFAE70A010EECD7EA2BFACA0745711A |
|
CONTENT
ssdeep
|
768:Cepy5NOK1iPKbKPAgLz4NP3+mZY9svblTOCVr36KYuNhKicv/2L:GiIKP3Lz4NP/y9svbliCdIu/0O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3593c3e0d35c1 |
|
VISUAL
aHash
|
04fdf37134003838 |
|
VISUAL
dHash
|
9cc9c3cbc80cd2c0 |
|
VISUAL
wHash
|
44fffb7b74003830 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
9cc9c3cbc80cd2c0 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)