Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174844C7C3259562CD88E83F5539796FBF8436E209B41E604E7F8AB4BCB1CB2CAE05445 |
|
CONTENT
ssdeep
|
3072:2ikwb3JYhFYrJaOF1XsSQc4n+VcscYgUqKMcI9FyhnHVl2t5rt0XYvvNzM7HS3eS:1BNo8aOF1nQU2scXvz6n1lErt0b3Lw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6a25416e342d79 |
|
VISUAL
aHash
|
00e181d5f1fffff7 |
|
VISUAL
dHash
|
0705352d01132c27 |
|
VISUAL
wHash
|
00c081c5e1ffc7f7 |
|
VISUAL
colorHash
|
07209008040 |
|
VISUAL
cropResistant
|
8505352d01332c25,b8e8026ae094a0a0,0785051535252d01 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.