Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10DE294B0E064432B178797E2D7235E5E72A661F4CA66069897F887B58EC3FE0DC43361 |
|
CONTENT
ssdeep
|
768:YWdh4ycypygyXyvyx8WCWdh3ysygyWyTyDyn8WT:YWdh88DWdhE8k |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c89d16f17c71706c |
|
VISUAL
aHash
|
013d1959f9f1f070 |
|
VISUAL
dHash
|
73e1f3b3b3d5c5c5 |
|
VISUAL
wHash
|
013d1979f9f1f070 |
|
VISUAL
colorHash
|
30000e00000 |
|
VISUAL
cropResistant
|
73e1f3b3b3d5c5c5 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)