Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15CA3BA23821975274437C2C1346A5B3BD1A6999FFEE70E010EDCCBFA6AF9CA0741B519 |
|
CONTENT
ssdeep
|
768:kwKotpR4nXF6YjOpSpFlTC6rrs4/5OSeuIr/X:kwKotpR4nXBKpSpFl26vhOSe9bX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212ed6d999363c6 |
|
VISUAL
aHash
|
00002c0c0000ffff |
|
VISUAL
dHash
|
1ae4695968032526 |
|
VISUAL
wHash
|
00163c0c3ce0ffff |
|
VISUAL
colorHash
|
1b601010040 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000020e060600040,0000a0c0a0a00000,09926c243666c616,2a54ec6959680307 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.