Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19B73507D0282693F104381E1822CF769E396ED0ACBA3195AD7ECC35B67C6DE4ED251B4 |
|
CONTENT
ssdeep
|
1536:X/nptcV10jcPC0+R9uIh0zMm+0H5x5+K8YO:a8WhHo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e040a69c167eb6f6 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
e4c38b339236271c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
03010000e00 |
|
VISUAL
cropResistant
|
21da98dadbda989a,3373a4acd2d26b61,38789d9c8c8c8d8f,8282a2969e86b282,841a382727201f1e,84e3e1d78b2b1393 |
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.