Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1659307F6E3A8A935F20363D4F1E063561263213ACF4B89D8DA7C51F8A7C6C894D37991 |
|
CONTENT
ssdeep
|
768:6Y+iuu2+OCiW2ifkuQS5WVWN/J0FfD3xNlDHPPcdXY+iuu2+OxO8OiaXODW7wkd3:eWEsRW7wkdkOpYC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b212acec6d59b991 |
|
VISUAL
aHash
|
00040400f3ffffff |
|
VISUAL
dHash
|
3fcdd9d91722193f |
|
VISUAL
wHash
|
00040400d7ffffff |
|
VISUAL
colorHash
|
03000000006 |
|
VISUAL
cropResistant
|
f1edcce0303094e8,2736232b063a182f,de3fcdcdd959d9d7 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.