Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F0E365534214692E4437C3C075799B76D1BAE98FFAA70A404EDCC7B63AEAC50B81B52C |
|
CONTENT
ssdeep
|
1536:9XeoVDvrrUgQmTa3MZo+Hd1+MM0J1jjC3leR5Xz8d8QnUHbR0kLLztqvLU:PDvrrOQ/zO3e9CeXT3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9852f9af6982c333 |
|
VISUAL
aHash
|
fd1c3c1813ffcf99 |
|
VISUAL
dHash
|
29bcfcf1636e1b33 |
|
VISUAL
wHash
|
fd1c1c1001bf8f9b |
|
VISUAL
colorHash
|
070001c0001 |
|
VISUAL
cropResistant
|
29bcfcf1636e1b33 |
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.