Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T145F2B59B320465E5C1F387CCA91125A06147EF5EC932C77082E88E3A27E35A57789F7E |
|
CONTENT
ssdeep
|
768:F+WMSKsK3P5Lih4GepGMhs4jY7yUjJoHMSs:F+WjoLRM7Ms |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a5d22dd2d22dd2a5 |
|
VISUAL
aHash
|
ffffffffff000103 |
|
VISUAL
dHash
|
909484e89c9202ce |
|
VISUAL
wHash
|
ff7e7e7e7e000000 |
|
VISUAL
colorHash
|
17e00000000 |
|
VISUAL
cropResistant
|
94b08c86e8e89c98,c9c8b0b088b18e8c,9c98988a123606c6 |
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)