Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1337104734054818FC321C74699D9ED5DD893628D6B60C989D0E6F1C93AEACBDEB830F4 |
|
CONTENT
ssdeep
|
96:TPfm5yvoM4Y5yXJzCJwb6NR6xTG4bpengsPi9ImbpengsPi9ICU66Dc:phUhy6rXq1c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3796c9638c9c792 |
|
VISUAL
aHash
|
00003c3c3c3c3c3c |
|
VISUAL
dHash
|
b2d0c9c9e8ecf0d0 |
|
VISUAL
wHash
|
18387c3c3c7c7c3c |
|
VISUAL
colorHash
|
39e00000000 |
|
VISUAL
cropResistant
|
a1c4949696d2d999,c1c3c0c8cac6adbc,68682888e4b0cce4,cbcb4b4d16107149,b2d0c9c9e8ecf0d0 |
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 171 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)