Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19972B821726189AF22275BF6F425F724E086C10FCB278E61A2FD63A463CADD5CF13255 |
|
CONTENT
ssdeep
|
192:auZ06YF7W9Tar84uQ3YzOZp7Y0sf6Hd7CTWtVibpCWMlGgu6hY3kKP9WoP2:S7j+tggtfz3kY2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
981267e5cd98b2e6 |
|
VISUAL
aHash
|
00001c18dbffc3c3 |
|
VISUAL
dHash
|
a3ccfcb0b2360b0b |
|
VISUAL
wHash
|
11001c1cffffc3c3 |
|
VISUAL
colorHash
|
03000000e00 |
|
VISUAL
cropResistant
|
8e8c92aa9a880101,a3ccfcb0b2360b0b |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.