Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123F243B492548D7B00ABE2C6D770BB5F72E1928AD963430207F897785FDBC94EC13899 |
|
CONTENT
ssdeep
|
768:HJUx85CVMtAzhdzVJNJzo1zz8vzqCzui72zCW3zCPBbglTaHSQ6wFUPL4cudJn+W:SvQKUv3E6LfBmUQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b83c51c747636656 |
|
VISUAL
aHash
|
008b8181ffcfffff |
|
VISUAL
dHash
|
3b3b3b0f203f1b23 |
|
VISUAL
wHash
|
00818181ff87cfff |
|
VISUAL
colorHash
|
06003008000 |
|
VISUAL
cropResistant
|
3b3b3b0f203f1b23,0043034b4b430300,fcfefee7f5fcc5c5 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.