Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18C628333B200D9268DDB56C8F2C4A689515ED349FB3248C672A051FF7BC0DF46AA53AD |
|
CONTENT
ssdeep
|
192:NO49d8/sxnMcnthWeNWbRy9uPIVx2QWT0m2NzNzNz0jzNz0jsHfMmUU8VCoT6yBk:NO4jQyIwx2QWo2OUfMmUFCoT6yB7gp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
da5ab529a22535f4 |
|
VISUAL
aHash
|
fcfc7c7cfd00ffff |
|
VISUAL
dHash
|
e96971e501111200 |
|
VISUAL
wHash
|
7c181c3c1c00fffe |
|
VISUAL
colorHash
|
07006000000 |
|
VISUAL
cropResistant
|
01697975d161c101,0000000000000000,0c4ece1c3167ee6d,2f18dad03070180d,0024303232080000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.