Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D7A20A75E3700375D58F4BFCDEF1666860CE61CDB16201D8A3AE4778AAC6CD87D284A1 |
|
CONTENT
ssdeep
|
384:rNPzntqniDsMivDTVzOZRzB4fY+NP1yhF6Q4WEKMY74Dce7rXVe:rN7tVDsMivE6hW5MrZ77o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a3370d8999239737 |
|
VISUAL
aHash
|
27e7e7e7ffff0099 |
|
VISUAL
dHash
|
cc6a0e0f08010b23 |
|
VISUAL
wHash
|
06e7e7c3fff90000 |
|
VISUAL
colorHash
|
07000010c00 |
|
VISUAL
cropResistant
|
cc6a0e0f08010b23 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.