Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ADF111E1D444DD3B0753C6D9F7B66B0B7691C34ACF470944A3F883AB6BCAC60CA12699 |
|
CONTENT
ssdeep
|
192:Q1PxGPxIP+nbzH715iU1rEIMnqrPyHGIXXIMnm4:Q/8jb11rxMnqGmBMnm4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
999966e2a2e69999 |
|
VISUAL
aHash
|
ff18181818180000 |
|
VISUAL
dHash
|
0cb2b2b2b2b20c4e |
|
VISUAL
wHash
|
ff383edf3f1a0000 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
0000000000000000,8eccf2fac232b2e0,b0b2b2b2b2b24c0e |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.