Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T104C2223419474FAFA0C3B2A3636E5F1D91C4F388C5778A06F6E84B4547AACE8C9F8215 |
|
CONTENT
ssdeep
|
768:SMNWLtP7Tn42e8RVYBvku/6/x/r/O/L/tLZZNN1ZlBbxee5tBN:keemRC5TWjJZ7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8cd2b4b5c1b3716c |
|
VISUAL
aHash
|
1f37113f1b131313 |
|
VISUAL
dHash
|
b665616377666ee6 |
|
VISUAL
wHash
|
1f3f013f3b131703 |
|
VISUAL
colorHash
|
39006000001 |
|
VISUAL
cropResistant
|
b665616377666ee6 |
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.
Pages with identical visual appearance (based on perceptual hash)