Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123615036A040603F1AD372E1B712B35AA3E1D642DA17171461F88BEC0FDAD5BDD77548 |
|
CONTENT
ssdeep
|
48:TwzdweONBjsjg8jnjd3jtvQlILe+kwsvSUMY62o432omDt1GX3Gf:TwzwzEPjdzJ3kHjCqmmWf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b267984d33656476 |
|
VISUAL
aHash
|
00e7e7e7e7ffffff |
|
VISUAL
dHash
|
280c4d4d4d4cb9b1 |
|
VISUAL
wHash
|
00e7c3c3c3e70f1d |
|
VISUAL
colorHash
|
06000040006 |
|
VISUAL
cropResistant
|
284d4d4d4d4cb9b1,0000804040008000,9f8c7cf8f1e1c607,45100cb2b2308c51 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.