Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19A223133A600DD2A8D9B56CCF6C09A89455DD345FB3108CAB1A091FF7BC4CF0A99979D |
|
CONTENT
ssdeep
|
192:Vl3Jsd0VZE0aUxg2cMcnthWeNWb87VdUmfMmUU8VCoTc:i04h2A7VdUmfMmUFCoY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93f0cc0f17f0330f |
|
VISUAL
aHash
|
ff3f0fc70f0fffff |
|
VISUAL
dHash
|
5040dc1c5c5c0048 |
|
VISUAL
wHash
|
fc3c0404040431f0 |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
5040dc1c5c5c0048 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.