Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T113D29A71A1106E37419391DA72A16B2B62F3434FE7861512A3FD83AD0BF6D14DF2732A |
|
CONTENT
ssdeep
|
768:peAKwn4Tma5letrZcHD2HL6cMKMajYXO16iqsUifPw5s5tLr8EcMG7sOy2+y9BH7:9Hn4Tma5letrZcHD2HL6cMKMajYXO16d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d605b430bd34e5c7 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d4ccc4c8c88c8c00 |
|
VISUAL
wHash
|
467c74006044ffff |
|
VISUAL
colorHash
|
31008001600 |
|
VISUAL
cropResistant
|
0880880458988000,d4ccc4c0c8c88c8c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)