Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14BC34E743248782EA99783B7B0E53F26727D831BC50F4C10F168D96AA3EDC49A467BD4 |
|
CONTENT
ssdeep
|
1536:keF0kgvVbU1RSs02ObI/i3UwLVCcuGOjjRn3:2cod2OMdW5uGOt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6cb3939293496c |
|
VISUAL
aHash
|
ff91919f9fffe7e7 |
|
VISUAL
dHash
|
7927232527c00e0e |
|
VISUAL
wHash
|
9d01819593ffc3c3 |
|
VISUAL
colorHash
|
07000e00000 |
|
VISUAL
cropResistant
|
7927232527c00e0e,ff9f9f3fcfcfbfff |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.