Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171233E79271C3E5D645B8BE4F7A4FB94532D61A4B81AD0B886BC663262C7CC0FC37894 |
|
CONTENT
ssdeep
|
768:v01oHnyAiiiiOiiiiBtiiiiUiiiiniiiiciiiiFiiiiJ3iiiiZiiiiNiiiit1:5iiiiOiiiiriiiiUiiiiniiiiciiiiFl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b819671f654e4547 |
|
VISUAL
aHash
|
00cfdfcfc3cfffc3 |
|
VISUAL
dHash
|
1e1e97971b3a1e96 |
|
VISUAL
wHash
|
0087c7cf818fcfc3 |
|
VISUAL
colorHash
|
060010001c0 |
|
VISUAL
cropResistant
|
1f1f97171b381e96,4020d0d4d6d6c020,4898cac293b1e869,75771353666a6a66,401be4ececcc9c02,4012c464e40c0200 |
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 74 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)