Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AFD212E093030855509383F561A21F2E99F8CB66F7075AAEF3FDD25A27C9C149F872A0 |
|
CONTENT
ssdeep
|
768:A4J/5lgjVtczmAyZZC0NlJ82wlt36XhADXwikzmS8K+VftGxJbppXgbmCb2klzUn:A4J/PgjVtczmAyZZC0NlJ82wltKXhADq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e592736c32796692 |
|
VISUAL
aHash
|
c7e7e7c3c7c3c3e3 |
|
VISUAL
dHash
|
0e0c0e969796960f |
|
VISUAL
wHash
|
c3c7c3c3c3c3c3c1 |
|
VISUAL
colorHash
|
07000030008 |
|
VISUAL
cropResistant
|
0e0c0e969796960f |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.