Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T113733F7D52866E3F104381D2831CE3699386DE0AC7A35A66D7ECC32B7786DE4EC29174 |
|
CONTENT
ssdeep
|
1536:S6yIx9Io1jcp00x03co90M7YE075x5+K8F+:8EC77d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e042869c167eb6f6 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
e4c38b339236271c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
03010000e00 |
|
VISUAL
cropResistant
|
21da98dadbda989a,901052d1aced5556,38789d9c8c8c8d8f,8282a2969e86b282,841a38272720171e,84ebe1d78b2b1393 |
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.