Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10E639620E3802E35166307ADFE506275C39293C9F327268919C75EF6BE1A7C6F46209F |
|
CONTENT
ssdeep
|
768:hpA7wWYLKqB5q/rmtOEdAiZBQhAFP+QO0WuB3GFNXaN+579uDMtnQR1:jMdqB5qStOEdAsIAF7OcZ+m5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1cace6d319264ce |
|
VISUAL
aHash
|
ffffc3c3c3c3ffff |
|
VISUAL
dHash
|
332a8e9e9e96141e |
|
VISUAL
wHash
|
c1c3c3c3c3c3c7c3 |
|
VISUAL
colorHash
|
06003400008 |
|
VISUAL
cropResistant
|
332a8e9e9e96141e,fee0cc9c9838b0e0,3f3ebcecbc9c7cb2 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.