Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T142920A107040A77E0A238DDCF694BE99E14EF30CCF7991D6F6E9023126E6EE1DD22498 |
|
CONTENT
ssdeep
|
384:DmZ9FnGmrErkrZjkV3Nw8j61S/eLyqW1ArB0Fi:Dq9FnFa6JkV3qN0GnWi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc6633999966cc8d |
|
VISUAL
aHash
|
0018181818180000 |
|
VISUAL
dHash
|
09323232b2323030 |
|
VISUAL
wHash
|
011818183c3c1818 |
|
VISUAL
colorHash
|
38000000000 |
|
VISUAL
cropResistant
|
828292cccc8a9282,09323232b2323030 |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.