Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ADE23D7991806523471B29E5BA35AB6FB5AB830CCF13490883FC8BC55FD2CD9CD165AC |
|
CONTENT
ssdeep
|
768:qURdkDaFsdA+zZN+pRWmgcxxS3LNNENt4IntpGz6nh7mv:qwUQqAOf+vWm3S3L0j4Ic6h7mv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
edc43b90c33a86cb |
|
VISUAL
aHash
|
ffdbf3f3f3838181 |
|
VISUAL
dHash
|
4b37232363273b2b |
|
VISUAL
wHash
|
ff9391f1f1838181 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
4b37232363273b2b,7cbc9c7c64ecaea6,7c7f4358d9d9d9cd |
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 78 techniques to evade detection by security scanners and make reverse engineering more difficult.