Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D1308EA939485F9F10AA3FAE625727134BA14FEEE52C204D3F40E49E75089C4C1ADC7 |
|
CONTENT
ssdeep
|
768:0mJHxpHeyXcA2wrmVU7aaYNInKaBuO0+kvHXVg4yH4+UchBPHMo9a1N:TRnOEur+kvC6r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d0b69db19537c0e1 |
|
VISUAL
aHash
|
4606746460600018 |
|
VISUAL
dHash
|
9cc4cccc9a9876f0 |
|
VISUAL
wHash
|
6e067e7e6e64083c |
|
VISUAL
colorHash
|
38000000000 |
|
VISUAL
cropResistant
|
0001902f2b324000,0011a20717a24900,9cc4cccc9a9876f0 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.