Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E2125223B600CD2A8DAB558CF5C09989416DC386FB314CCAB1A091FF7BC4DF069997AD |
|
CONTENT
ssdeep
|
192:Hq3JEd/HeQaxuVM6McnthWeNWbLfMmUU8VCoXG:X/H/VMxfMmUFCoXG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bbcc1d3bc43bc0e0 |
|
VISUAL
aHash
|
9f8f9fffff0f0fff |
|
VISUAL
dHash
|
383838c8a85a5a00 |
|
VISUAL
wHash
|
0f0f0f0f070707fe |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
383838c8a85a5a00,0010083030080000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.