Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FDE29571A1042B3F51BB83C9B751F729A2E3818ED645280547FDC35E4FEBE50EA1362A |
|
CONTENT
ssdeep
|
768:F0y5N98s7KQrnvI2md95Zjz8C7sOy2+y9BH4crIe:isWEvUj7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c12c7ed926969b2 |
|
VISUAL
aHash
|
3e1c0acfdfc1f3fe |
|
VISUAL
dHash
|
e8f4b43c3c030790 |
|
VISUAL
wHash
|
3c18088ecfc1e3fe |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
e8f4b43c3c030790 |
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.