Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17A23D73144C82B3B43C353C6B311964BE3E28244E67BD699F2DA8B2E56C5D44D83BB6D |
|
CONTENT
ssdeep
|
768:bKps4bqQbIQokQRnNDO/+1TCIxSEU6H+8KoYjEzasEJo5:bKy4mQbIQHQh9O/+tCUiD+NzasEJo5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9416ebcacbcaca86 |
|
VISUAL
aHash
|
fd06060606fffffb |
|
VISUAL
dHash
|
71ccccecec3c3333 |
|
VISUAL
wHash
|
fd060606061efbf9 |
|
VISUAL
colorHash
|
0e000000180 |
|
VISUAL
cropResistant
|
00018961618901a2,96d6e8b294710f8e,c0303c0313333313,ecccccccecececec,5ba7decec647d737 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)