Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C225473A600CD694D9B65CCF2C09A48415EC386FB3148CA71A491FF7BC4DF0699979D |
|
CONTENT
ssdeep
|
192:kU723JCYc3cMchN0qIX2NCxHA9McnthWeNWbOHVfMmUU8VCoKBt9MMeS:b78c3cMchN0NGJpHVfMmUFCoKBt9MMeS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999dccc64337326 |
|
VISUAL
aHash
|
1818240010000000 |
|
VISUAL
dHash
|
10324c0810000000 |
|
VISUAL
wHash
|
3b3b273f03030302 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
10324c0810000000 |
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.