Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11F63B5A7B3101637413341C9B29B676531E2E24CDA4514A4AEFFB3B467FEC26343798A |
|
CONTENT
ssdeep
|
1536:WdAr63h/xVz8zfGcfqx351nvZMGdPOJSQYS1yMvHA0i0zw8sEIdYSoZj5oT3A/P1:Aqc8ht2CpK8DuBAzTv5B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
813dadd62c7a2dc2 |
|
VISUAL
aHash
|
020a0a007e7e7e7e |
|
VISUAL
dHash
|
b6deda98ccccd8e4 |
|
VISUAL
wHash
|
022e4a007e7e7e7e |
|
VISUAL
colorHash
|
38200018000 |
|
VISUAL
cropResistant
|
a6a68606478c9616,84b1b1945cbd3d3c,e4c4d696d6cc9eb2,b06869b2dc5c786a,b6deda98ccccd8e4 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.