Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T178D2957261006A3B01DB83CAB362F72EE6D3D349CB4A190642F947AD4FE3E90DD1755A |
|
CONTENT
ssdeep
|
768:2LfPy5NvILjLAyd8d7R1DHYlm7sOy2+y9BH4crIe:2NXcyMd7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36dbc32f812c2cd |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1f47c7c8c0cccc00 |
|
VISUAL
wHash
|
81f77100000effff |
|
VISUAL
colorHash
|
39000200038 |
|
VISUAL
cropResistant
|
0480800458988000,0f0bc7cbe8c0cccc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.