Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T168D293769110173F0297C2C8B361F71E92E3824ED68A181753FD87AE1FE6E90DD2356A |
|
CONTENT
ssdeep
|
768:nSXy5N0+Qg/2TkwBF8FjxQLT8vLYcFSoigPQEWnMGivdslxPQk6U1gT/ohl1tCoi:+jg/2TkwBF8FjxQLT8vLYcFSoigPQEW8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd32d12c9482 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49c3c3cc6cb600 |
|
VISUAL
wHash
|
80ed71300406ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
008080084c808000,0c09c3e3c3cccc36 |
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)