Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7933BA83608F5265AB383A750DF14077379122B540D4C70B254ED9EB5BCC9EA07BFEA |
|
CONTENT
ssdeep
|
1536:6pxGCecL5osI8/CLqnZbU1RSs02ObI/i3UwLVCcuGOjjRn3:6pPrkod2OMdW5uGOt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8815ab772b75a855 |
|
VISUAL
aHash
|
033d1a1a187e0419 |
|
VISUAL
dHash
|
de69f2f4f0c4d0b3 |
|
VISUAL
wHash
|
073f1f1f1e7e0019 |
|
VISUAL
colorHash
|
30007000000 |
|
VISUAL
cropResistant
|
de69f2f4f0c4d0b3 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.