Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17214536393772902507ED0C9B0FF479A21C186BCF6074671E3AC53AE69CF9677A0129B |
|
CONTENT
ssdeep
|
1536:r6eeeDeeeeIeeee6eeeemeeeeeeeeeeeeeeeeeeeeeeee1eeeeeeeeeeeeeeeeeS:j457r64puWjugV87zQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926c939b6c71ccc3 |
|
VISUAL
aHash
|
007e62427e7e6e7e |
|
VISUAL
dHash
|
23c4c686f4dccccc |
|
VISUAL
wHash
|
007c42427e7e6e7e |
|
VISUAL
colorHash
|
06000030000 |
|
VISUAL
cropResistant
|
23c4c686f4dccccc,0000000000000000,66e6732b3472f377,8f8f0f2965757a7a,36e5b6a5e5a4a443,e3ebac6464ac2c2d |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.