Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T110433BF83551B1278A7742A750EB2D0A733E920F940F44A0F358FD9B76B484AA057BDD |
|
CONTENT
ssdeep
|
768:WGu4bWy1mYaJjvz005MP+y4cnvMlI9Ufqz/dRHbyMBWk2cllYQk/y:z2L2ocnIEdRQQn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
95c9ca366a38b539 |
|
VISUAL
aHash
|
dd7fff0000260600 |
|
VISUAL
dHash
|
99f0dac64cc41ccc |
|
VISUAL
wHash
|
df7fff6500360600 |
|
VISUAL
colorHash
|
30c01008000 |
|
VISUAL
cropResistant
|
99f0dac64cc41ccc |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)