Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171E221733088659F8363D7CC3C20B35AA117825BCA966D4772E58F5D7E86AA1FD040AF |
|
CONTENT
ssdeep
|
768:aPhpu32Ww9D26X9ao+zqRgI+E+hc4qiVklTmC/md14klT/ydBIs/lkFJIm9naC8x:aPhpiaD5Nao+zqRgI+m4qit/2xWLWV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbda25a2b9d99a81 |
|
VISUAL
aHash
|
ff203c3c3c3c2000 |
|
VISUAL
dHash
|
6fc6e9e9f9e9c2c2 |
|
VISUAL
wHash
|
ff607c7c7c7c6000 |
|
VISUAL
colorHash
|
03001030000 |
|
VISUAL
cropResistant
|
6869696970609686,c566f66efa626425,c6e0f9e9e9e9c222,294b902727885757 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.