Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160510FB03224593A42CBD7B175A0AF5DA398C744CF9BCA58B3E9D38A1BC2E55CC840E4 |
|
CONTENT
ssdeep
|
48:ThUfOFtHmXRp6QB2gj9BBduwPPUgAsYXJFoYE8r74bDkIejg2qr:ThsOFkXjxVjVECPUVXJEg7eYTjir |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc663399cc663399 |
|
VISUAL
aHash
|
0000001818000000 |
|
VISUAL
dHash
|
00000030b2001000 |
|
VISUAL
wHash
|
000000183c3c0000 |
|
VISUAL
colorHash
|
38000000000 |
|
VISUAL
cropResistant
|
8c008c8c8c8c8088,00000030b2001000 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)