Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B5434B736362787D82CB81DDB7392E41B2C6A58DE9870094F2D86ADD23C3C817187BB4 |
|
CONTENT
ssdeep
|
1536:ai+EsZ/8qeWhODDTEe+weMLBvwNMLBpwZUXx+y9dQyDF1ZAU84HaXwI:aXe+wfwqUUXxpDzHy7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d962e289a3a68db3 |
|
VISUAL
aHash
|
ff0000000018ffff |
|
VISUAL
dHash
|
8991680a1a712800 |
|
VISUAL
wHash
|
ffc10000083cffff |
|
VISUAL
colorHash
|
3a031000000 |
|
VISUAL
cropResistant
|
080c1000c0c00080,8208304d4d300882,300c0c0000000000,914868200a1a7130 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)