Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1589309B11242A67F104382F5D328B53EE3C5D989EB638D46E3E8832799C9CDC9D2D8D5 |
|
CONTENT
ssdeep
|
768:Nwt6ofCk4IKZYw1ekzQiHJ2G00kq+NRrt6ofCk4IKZYw1ekzQiHJ2G00kq+NRx5I:2dF5D0IgB0cc5UbKCOS+u0iOk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ce7c3f0189698 |
|
VISUAL
aHash
|
eb839f9fdfffffff |
|
VISUAL
dHash
|
cb2a3531b175300d |
|
VISUAL
wHash
|
01011c1c5c1cffe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
cb2a3531b175300d,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)