Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T140332DF93D45B5520B7390D3A1AF354BB33E641F680C59A0B150DEE974F84A9A02BF8E |
|
CONTENT
ssdeep
|
768:lyWuPuyWb/s5cNwGL/1X1HD5M9/ufLMFZvFCtX8Ukke7sNSxHyOzxHRBaW/Sy3sj:GrzyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc774a5d325c3a51 |
|
VISUAL
aHash
|
00fcf090e0f8d8d8 |
|
VISUAL
dHash
|
00c0002000303231 |
|
VISUAL
wHash
|
00fcf8d0f0f8f8d8 |
|
VISUAL
colorHash
|
00038000000 |
|
VISUAL
cropResistant
|
6040103000181818,00c0002000303231 |
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 701 techniques to evade detection by security scanners and make reverse engineering more difficult.