Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180D2737261006A3B019383C9B361FB2EA2D3D349DB47091656FE835E4FE7E50DE2395A |
|
CONTENT
ssdeep
|
768:/k4Py5NYWkikeW0q+Pz1PmYFDUo7sOy2+y9BH4crIe:UbN7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
876bbd32f904c4c9 |
|
VISUAL
aHash
|
000030000000ffff |
|
VISUAL
dHash
|
1f0fc3c0c8ccfc00 |
|
VISUAL
wHash
|
81c77920000effff |
|
VISUAL
colorHash
|
39000200038 |
|
VISUAL
cropResistant
|
4280800458988000,1f0fc3c3c8c0ccfc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.