Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110E365534214692E4837C3C075759B77D1BAE98FFAA70A404EDCC7B63AEAC50B81B52C |
|
CONTENT
ssdeep
|
1536:8Z+rrUgQmTa3MZo+Hd1+MM0J1jjC3lea5Lz8d8jnMKVRikrzOLkLd:8Z+rrOQ/zO33xCzMfN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9852f9af6982c13b |
|
VISUAL
aHash
|
fd1c1c3813ffcf99 |
|
VISUAL
dHash
|
29b4fcf1636e1b33 |
|
VISUAL
wHash
|
fd1c1c1001bf8f9b |
|
VISUAL
colorHash
|
070001c0001 |
|
VISUAL
cropResistant
|
29b4fcf1636e1b33 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.