Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17EC2A631B2002A3F035393C9B351F71DA3E3A6C9DB56191952F8876D8BE7E90D92352A |
|
CONTENT
ssdeep
|
768:+e/y5NgHejOzMlFCG9mE25ZA9QAR/vN31ETUlGjTeyTdO7sOy2+y9BH4c1Ie:RGk47sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367fc3a9c49c183 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
444cc2c2cccdc300 |
|
VISUAL
wHash
|
20e6fa600420ffff |
|
VISUAL
colorHash
|
39e00010000 |
|
VISUAL
cropResistant
|
0080800458988000,c40cccc2c8cccdc3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.