Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19A42BEE510AEAA3712A3F2D2A2A6171F72D1820BDB4A562053FDC3DE5BD5C94FC3201D |
|
CONTENT
ssdeep
|
192:zi9pnqvr8YIF5Ym89MJ8gXjapV1MO+8fyaduEBBaUcrbu7dH39m8Rw+O2xTy:G9pq1hhquRNK+/xm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccb319993366cc33 |
|
VISUAL
aHash
|
1818180018180018 |
|
VISUAL
dHash
|
f0b0b0a4b0b230b2 |
|
VISUAL
wHash
|
7e7e7e663c181818 |
|
VISUAL
colorHash
|
38000210003 |
|
VISUAL
cropResistant
|
f0b0b0a4b0b230b2 |
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.