Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B623B73500C42B3B91D342C5A3216E8BE3968644E7768A5FE2E9871E53C6DD8CC37B9D |
|
CONTENT
ssdeep
|
768:VA2hoJbsIactquoc+6aBp41Kr7gx9/VhL+lTlZeHgMpm8CNHlECXqpZhfFRpaaXi:VA2hopfLtq/c+DBpUKQx9/VhGRZeAMMB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
946bb894e2eb9487 |
|
VISUAL
aHash
|
ff000000367e5e46 |
|
VISUAL
dHash
|
7171c4c0ecacbc9c |
|
VISUAL
wHash
|
ff0000007e7e7e7e |
|
VISUAL
colorHash
|
02000000038 |
|
VISUAL
cropResistant
|
0001016363890006,d495d35233173574,84c4d0b4881e1c8c,9d614161372733b3,64682a643024270e,b6e0f0f8ddc79373,8989892b2b185371,33e0d0ececacdc9c |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)