Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13F834DE2E240FC3652B340D7605A55467337090BF70A4DB0A648CF9EB7EDCA7522B7A9 |
|
CONTENT
ssdeep
|
768:qT0TQH7YFc5QxcTVQtRQXntgZQYiQOZY/KSipcTVqVzc+b42NB2jIGrTnzq8QE1N:G2tRIntty/VQzQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c794946e6e3c3899 |
|
VISUAL
aHash
|
7e7e7e2000000000 |
|
VISUAL
dHash
|
ccccd4c4c0c0c0c0 |
|
VISUAL
wHash
|
7e7e7e7c30203c00 |
|
VISUAL
colorHash
|
30000030000 |
|
VISUAL
cropResistant
|
27c4c4cedb3b3594,ccccd4c4c0c0c0c0,8d497133314d6da5 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.