Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T164F29731B0006A3B51D793DDB762F72AA2D38349E95A050182FDD36D6BE3D50EE2352E |
|
CONTENT
ssdeep
|
768:q5y5NzYl8cZq3hL02d41oHzjf7sOy2+y9BH4crIe:0qAqSFmHzL7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc38c5cd926d3938 |
|
VISUAL
aHash
|
3b1f83c7dfd1f0fe |
|
VISUAL
dHash
|
e2b61f1c2d0626d8 |
|
VISUAL
wHash
|
3b0f038787c0f0fe |
|
VISUAL
colorHash
|
070030000c0 |
|
VISUAL
cropResistant
|
e2b61f1c2d0626d8 |
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.