Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123131088CEDDA42018BF23D146A35F2F61534EBAC6C96FE189B051F9735AC14B247E1E |
|
CONTENT
ssdeep
|
384:iR+/FWb5VZ9ok8A85YDpYd6Arb5dsSkqb5x+ykuqwpbeVWe4pX3FWoMyTTjS:1W5tk5YDQ5dl5xYceYeo3VjS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d51e1c6a63636762 |
|
VISUAL
aHash
|
001ff0f0ffff0002 |
|
VISUAL
dHash
|
6430484a88840902 |
|
VISUAL
wHash
|
000ffcfcf9ff0100 |
|
VISUAL
colorHash
|
07000018003 |
|
VISUAL
cropResistant
|
6434484a88820902,3434b03474744448,639898c998d8d825 |
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 133 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)