Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D822AFB0829B0C5580139EE2B4775A9E50E95109CB1328B863EC4B6EF3E8DB42D5EFD0 |
|
CONTENT
ssdeep
|
96:wGaYd/LhhzaW/3GhmW5NXmt1bTEuUG5Aps2:uSzhFpPG2C |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b03861cd399933cf |
|
VISUAL
aHash
|
c3c3c3c3e7e7e7c3 |
|
VISUAL
dHash
|
96969e968696968e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
060010080c0 |
|
VISUAL
cropResistant
|
96969e968696968e,c3c99c95998e67b3,9c367331b81b8962,17060ea5c5261601 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.