Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10B63A5321201AD3F144352D0DB1AA35A93C9C709C7E65942FBECC3AAB7D7D64DE3A264 |
|
CONTENT
ssdeep
|
1536:n8sIv8w+w/BmTnQ3g5mzuu1s8PePsKFFN4w2Onfhx1dM8mbVt7HqPOGJJbLu2raG:d2bcttv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eccd9293c5c63296 |
|
VISUAL
aHash
|
ffd191f1f9c1f181 |
|
VISUAL
dHash
|
c8333323331f673b |
|
VISUAL
wHash
|
fe9191f1f981b181 |
|
VISUAL
colorHash
|
0700b000080 |
|
VISUAL
cropResistant
|
c8333323331f673b,cccc9a9eaaa6a68e,1e5b2ce466475907 |
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.