Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14E249D33421935270137C6D434BA5B37E2A6DE4FFAA70A010EECD7FA6BE9C90745A119 |
|
CONTENT
ssdeep
|
1536:HIImtsU8PjpMq1Wiz322W0nddi5lYWCddirddi5lYWCddiDvBtJFS3Z+IX+A9vtT:MQGezlvlclFFipjY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8344747475b4747 |
|
VISUAL
aHash
|
00df8f8fdfffffff |
|
VISUAL
dHash
|
d43c3c3c3c193898 |
|
VISUAL
wHash
|
00070e0f8f8f9fcf |
|
VISUAL
colorHash
|
07c00600000 |
|
VISUAL
cropResistant
|
343c3c3c38393898,931404d4d42414a3 |
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 40 techniques to evade detection by security scanners and make reverse engineering more difficult.