Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F973F9A83919F5161AB343A710DF14037378122B580D4D70B251FD9EB6BCC9AB16BFEA |
|
CONTENT
ssdeep
|
768:ZVPuuZIasKS4UCINc2YRaIjka2bMbCiTHMgsk2Yt+uPYLUcipz9ERsZuGOjjgquZ:v3lUuRNka2wblHbJLwLIz9GguGOjjRnK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c9cc4e3f3e1c9c1 |
|
VISUAL
aHash
|
7f1f1f000000f0f8 |
|
VISUAL
dHash
|
fabab2baccc0c0c0 |
|
VISUAL
wHash
|
ff1f1f080060f8fc |
|
VISUAL
colorHash
|
071c8000000 |
|
VISUAL
cropResistant
|
fabab2baccc0c0c0 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)