Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13F7152324149A56B014282E1C6B1B28BF9C1D24EDF564E41E6E487DE79E5EE0EC33294 |
|
CONTENT
ssdeep
|
96:YjsLsBf0G0Z49DwxUtu0cBnxHukrmm98q:Wl1b0YwWM0cBnxnD9n |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc336666333366 |
|
VISUAL
aHash
|
1818181818000000 |
|
VISUAL
dHash
|
b2b2b2b230300800 |
|
VISUAL
wHash
|
3f3f3b3b18180000 |
|
VISUAL
colorHash
|
380010001c0 |
|
VISUAL
cropResistant
|
e456d5969adad868,b2b2b2b230300800 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.