Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A9C2A836B1042A3B12D7D3DDB362B32EA2938349D74A081591FD83AD4BD3E58CE77526 |
|
CONTENT
ssdeep
|
768:OScy5N4wCYB5UAwDt9wPpBGS87sOy2+y9BH4crIe:RC45UyGS87sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1adc69c383 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
9c8ccac2e8ccd300 |
|
VISUAL
wHash
|
00e7f0703004ffff |
|
VISUAL
colorHash
|
31000400030 |
|
VISUAL
cropResistant
|
008080024c888000,940ccecae2ccccc1 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.