Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A12AA32F4447E3B028353E173A6A71A72DAD349DF236A05D7F0C7649BEAE668E03115 |
|
CONTENT
ssdeep
|
96:cUayocOiRG7PoC1/eSZSZSokvi0IRG00O0hWUbLK7V9K22CCO0SjELO0ziIy5JnP:ZnGiRDC9IIoA7b+cy/kM4hdsKY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9998736633669966 |
|
VISUAL
aHash
|
1818181818181818 |
|
VISUAL
dHash
|
b2b2b2b2b2b2b2b2 |
|
VISUAL
wHash
|
18181b1b1bdbdb59 |
|
VISUAL
colorHash
|
010100000c0 |
|
VISUAL
cropResistant
|
b3b2acf269453523,8080210101014101,b2b2b2b2b2b2b2b2,1f6fe7ad1b7ffc78,41707050595a8aca,5654acc9f3326363 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.