Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130125133A600CD2A8D9B62C8F5C49588411DC35AFB3148CBB16491FF7BC4DF1A9A979E |
|
CONTENT
ssdeep
|
192:F4WdM9aXdWAexaPxDMcnthWeNWbnfMmUU8VCoEJz:HMnrfMmUFCoE9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
982de752e391e689 |
|
VISUAL
aHash
|
5f0f1f1f1f0f1f5f |
|
VISUAL
dHash
|
b0b7b73e39bdb4b4 |
|
VISUAL
wHash
|
1f0f070f0f070f1f |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
b0b7b73e39bdb4b4,009049bab2400000 |
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.