Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AED3D7ECAF24AD9801CF8FC86E3113943B1BE26D970207D4E1A5CB71B65FC6CD95684A |
|
CONTENT
ssdeep
|
1536:QsIxb7+/zMdOtXm9FcdOCXmuF2dOtXm9FV7J5C8nHAEC5tCE0dOnHmqdOF:QP7F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d54da9ab92b2b192 |
|
VISUAL
aHash
|
f8f0fcfcf8f8ffff |
|
VISUAL
dHash
|
5212103830d22822 |
|
VISUAL
wHash
|
f8f0888c90f8ffc2 |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
5212103830d22822,5372600122066576 |
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 74 techniques to evade detection by security scanners and make reverse engineering more difficult.