Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11244B635515CCD7B92DBD3F26970629F7146E26AFD23078A8BE4CB8D6EE2D90CC25108 |
|
CONTENT
ssdeep
|
1536:PJkh8gpcVmCl7wl6ZuGMOIgQ5sCwRIPMBfoEb729xe6yyKp8GkHb7gPBBHZcNgfQ:PJf2kBwNw0ooh5PoG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc33b9996266cc |
|
VISUAL
aHash
|
e718181818000000 |
|
VISUAL
dHash
|
0ab03032b20c1000 |
|
VISUAL
wHash
|
ffd9181818183030 |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
8000104d4d080088,0ab03032b20c1000 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.