Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119E2633051116A23856ADAC0F766D75A33434397CE834AA8E6F6464DEACDCB58BF133C |
|
CONTENT
ssdeep
|
384:FiZv0wF6YeL8hhUyhJk6PzkEoReLkKczwegywewEbIV380Sc4fG3m9BjtZ:6v0w0YeYh9rF7ZoRcPV0x9Bjv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b36c6c314ccc33ce |
|
VISUAL
aHash
|
81c3ff3c6c4c3c6c |
|
VISUAL
dHash
|
8696416159d95959 |
|
VISUAL
wHash
|
c3c3ff3c2c0c3c2c |
|
VISUAL
colorHash
|
06c00008000 |
|
VISUAL
cropResistant
|
8696416159d95959,0000000000000000,e0c2e0c1d0e0e0e0 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)