Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C43265205068FD3702D392E9F2F62E4736C1824ECB472E448BEC976EAFD6C81ED15259 |
|
CONTENT
ssdeep
|
192:Y/wpSRPO4er/afTxUdBc9m4eiQlFDIpRNCdBSxQNocZP1xHUPl4wQNsjJZFT4t2t:Y/wERWX8tc6RNOcQNocZP1xHUP5QNcJR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6d638199b383cce |
|
VISUAL
aHash
|
3c3c3c3c3c000000 |
|
VISUAL
dHash
|
6969616961690660 |
|
VISUAL
wHash
|
7c7c7c7c7e3c0000 |
|
VISUAL
colorHash
|
07000030080 |
|
VISUAL
cropResistant
|
e2a8a6a2a6a09882,6969616961690660 |
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.
Pages with identical visual appearance (based on perceptual hash)