Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16951297094811C32BC77C2B4E9E5CE3A7292CD49C38313A2C6D412AF96D5EE5DDE90B8 |
|
CONTENT
ssdeep
|
48:G8VVd6jPJYoD/k6jPBrRV9FP1A2AFP5fJtWtFPB5g0eBvGDgrTyxyZu8Cqu8JHOJ:Go09TBn9YLfqtdHmT8yZu8tu8kTau |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
993366cccc663399 |
|
VISUAL
aHash
|
0018181818181818 |
|
VISUAL
dHash
|
323232b2b2b2b2b2 |
|
VISUAL
wHash
|
181818183c3c3c3c |
|
VISUAL
colorHash
|
01000000e00 |
|
VISUAL
cropResistant
|
eaf8e00ee080800f,323232b2b2b2b2b2 |
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 51 techniques to evade detection by security scanners and make reverse engineering more difficult.