Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4814F22411AD65F52058380A2F0B3AEF65BC182CFB10F42D8590FE7F6A8FA1A437159 |
|
CONTENT
ssdeep
|
96:YFa8EaMt/r+hG0EecdfEB7+JRfYmGdM3fnh6v:YFaDJt/r+hG0E1dfEB76fYmGdM3fnh6v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc3333c6999b23 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
1030b2b2b0303000 |
|
VISUAL
wHash
|
00183c3c18181800 |
|
VISUAL
colorHash
|
38400030000 |
|
VISUAL
cropResistant
|
1030b2b2b0303000 |
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.