Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17A229133A500CD6A4D8B66C8F1C49589421DC345FB3148CBB2A4A1FF3BC5DF06AA97AD |
|
CONTENT
ssdeep
|
192:dEJ4doHMmVxisxdqMcnthWeNWb0fMmUU8VColO:noHgfMmUFColO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d0de3e36915d6d0 |
|
VISUAL
aHash
|
1818181839ffffff |
|
VISUAL
dHash
|
63737032b3082300 |
|
VISUAL
wHash
|
1818180018ffffff |
|
VISUAL
colorHash
|
07180002000 |
|
VISUAL
cropResistant
|
c4d2c56ce464c4cc,63737032b3082300,0fef676fd7fdfdf1,cbcb939b9dccab82,bdbb732763697c9f |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.