Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EBA3B631A00DBC2B01AB45D8B531532E72F94346C6538689F6E7D3A89B8FD6ED53B348 |
|
CONTENT
ssdeep
|
1536:AsIxj4qIleCTDIBMAXXvJzNB75rFYFP/VSXlPsAkw:AQgJ771 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fc47b8b681aba489 |
|
VISUAL
aHash
|
ff00702000c3cfcb |
|
VISUAL
dHash
|
80c0c0c2a22f0bbb |
|
VISUAL
wHash
|
ffe0706000c3efcb |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
8080808000000088,8024a476b6d8c800,b60002020a025e5e,6d6cfdadad1dbded,00c0c0c2b62f0bb3 |
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 86 techniques to evade detection by security scanners and make reverse engineering more difficult.