Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11034D7A3533C477E1B6683E29618233D7C8E908EDD9594A291BFC35813FBCA1B9615C3 |
|
CONTENT
ssdeep
|
3072:4s90U/8PaGbI4LTxcBEa9Sm3q+osrhkWMj/ku+L2SOgktCYfJow7jiDUhM0fzK1t:GU/80PSm3q+osrhkWMj/f1i0QUqE2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc1c61436b15567e |
|
VISUAL
aHash
|
00df9f9f81ffe3c3 |
|
VISUAL
dHash
|
0b3b2b3b3b230707 |
|
VISUAL
wHash
|
008b9b9b81ffc3c3 |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
2b3b2a3b2b36070f,28242ad4d42b6820,61dcc860cce2ce5c,010001b6cafa0149,aaaaaa5555aaaaaa |
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 627 techniques to evade detection by security scanners and make reverse engineering more difficult.