Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DA73FAB3531822BE076342919604375EF15284CFEB4B15DAE0AFC29933EDEA15572BCB |
|
CONTENT
ssdeep
|
1536:7J9xxul4kxOsCKZRtvBTWYn9oOakVh6+qwbK5bI2PTEt/9hOMYfF8BH8iX8g0sYd:7/xQvdZ99xaUh6TI2PAt/DOMYfF8BcGk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6863c9c9c3c9c96 |
|
VISUAL
aHash
|
ffe7e7e7e7db8181 |
|
VISUAL
dHash
|
30cccccccc333333 |
|
VISUAL
wHash
|
9fe7e7e7e6808080 |
|
VISUAL
colorHash
|
07000000030 |
|
VISUAL
cropResistant
|
30cccccccc333333,0000000000000000,0000000000000000 |
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 932 techniques to evade detection by security scanners and make reverse engineering more difficult.