Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EC72DEE0C490FA3B475391C9A7726F5B77A1C348CF42094493F4976BABCADA0CB214AD |
|
CONTENT
ssdeep
|
384:Qw5WkzNHP21Tzbqw3JHftKPA1CNMFu24odvpmdaPzfg8F:SkdP21fbqw5lKuzu24odvpmdWzf9F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e16d829e18f692b6 |
|
VISUAL
aHash
|
fbc3c3c3c3ffe7e7 |
|
VISUAL
dHash
|
13030f0f178c0fcd |
|
VISUAL
wHash
|
c3c1c1c181e7e767 |
|
VISUAL
colorHash
|
06001e00000 |
|
VISUAL
cropResistant
|
13030f0f178c0fcd,3008061b9a2e8a8a,a09860f0d9ecf6e9 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.