Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15312A6F383919D9E071747E87AC6B18491F8D5A8F4618832BDEC82EA4FC1DE2E197152 |
|
CONTENT
ssdeep
|
96:tQ4L1vWnNTi7TNKTL85CyWi5Cyh5C2L55CGMqhS5Cm03UVzL580K5CxI9+qL4L2j:Y0UUu0kVO0GjuVY5pd6qTpttm+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6c9393c66e9298 |
|
VISUAL
aHash
|
ffc181d1ffffdfff |
|
VISUAL
dHash
|
23032727229c3934 |
|
VISUAL
wHash
|
9981818197cf9f8f |
|
VISUAL
colorHash
|
072010001c0 |
|
VISUAL
cropResistant
|
23032727229c3934,e4c5a5f6f0d46c68,614043475b431f3c |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.