Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E615523405AA46FA20943C192F1F7A7E997C51EDE700F41DA990BDBE5D4FA1F07215C |
|
CONTENT
ssdeep
|
96:T97wGkuzG72s/fqZ0S87gqvM76GsPRyTz:guXs/fM0l7gqvM76GsPRy/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc663399ce669932 |
|
VISUAL
aHash
|
0000181818181800 |
|
VISUAL
dHash
|
0814b2b2b2b2300c |
|
VISUAL
wHash
|
81999999b9b99981 |
|
VISUAL
colorHash
|
38000030001 |
|
VISUAL
cropResistant
|
c9c9b6d4b6a47931,14209e9e9e966804,0814b2b2b2b2300c |
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.