Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A2041C246218293D942383D1F3EA7326627E835BE50E4814F6BC8576A7CBD99F4337D8 |
|
CONTENT
ssdeep
|
1536:x2+BPilcRjpt4fb7K22Z8jvBMaBlUuRNka2wblHbJLwLIz9GguGOjjRnY:qcRyJrX2wd9W/guGO+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3a63c383896c7c7 |
|
VISUAL
aHash
|
87e07e6c6c600000 |
|
VISUAL
dHash
|
344bccccc8c4e0c8 |
|
VISUAL
wHash
|
87e17e6e7c7c2820 |
|
VISUAL
colorHash
|
38400030000 |
|
VISUAL
cropResistant
|
344bccccc8c4e0c8 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.