Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B17309A83919F5261AB383A710DF14037378122B540D4D70B250FD9EB6BDC9AB16BFE9 |
|
CONTENT
ssdeep
|
768:F1uckU9k48jasKS4UCINc2YRaIjka2bMbCiTHMgsk2Yt+uPYLUcipz9ERsZuGOjq:LlUuRNka2wblHbJLwLIz9GguGOjjRnY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1e178f2c7c73838 |
|
VISUAL
aHash
|
e0e24e787c0c0000 |
|
VISUAL
dHash
|
8e869ac2c05c0200 |
|
VISUAL
wHash
|
e3e7ef7a7e0e0000 |
|
VISUAL
colorHash
|
38e00000000 |
|
VISUAL
cropResistant
|
8e869ac2c05c0200 |
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.