Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12FF4A6B1A2E071F6D2074FD573296F3A35EA14ACDF82CE8097F40B9487F2DA4995E844 |
|
CONTENT
ssdeep
|
3072:VkjowPmeXoBxMwP4AmgoBfusgoBfusgoBfuT:+lle |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba6d0f122779780d |
|
VISUAL
aHash
|
00ffc1c3e7cdff27 |
|
VISUAL
dHash
|
7900330f0d1d094f |
|
VISUAL
wHash
|
00ff81e187cdff01 |
|
VISUAL
colorHash
|
07000603000 |
|
VISUAL
cropResistant
|
7167330f0d1d4b4f,0000000000000000 |
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 887 techniques to evade detection by security scanners and make reverse engineering more difficult.