Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12E534B37F6183D7D93C741EEFB385996F2C148ACD8868514B9DCD29D13C6CC1624ABA4 |
|
CONTENT
ssdeep
|
1536:aC+EsZ/8AY8sDVRuMjBuRlMjBnDrpRXPZlQaQD9OehM+BrUgq4z:a3g/RyRMDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf6a3acc6e18c2c1 |
|
VISUAL
aHash
|
81858f9fbfbf8f87 |
|
VISUAL
dHash
|
23595d3d71693d3d |
|
VISUAL
wHash
|
018f819f9f8f8f81 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
23595d3d71693d3d |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.