Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F13EF306801ED2702EB96C95676532A62F68349CA530689FAF4C7F95BEFC6CDE33501 |
|
CONTENT
ssdeep
|
768:5uQwSMD5SF6EeAsVqc5Ohz6IssIx/jkUf79F:UQwSMD5SliVl5Ohz6IssIxH79F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ae2f5c9e2097e34 |
|
VISUAL
aHash
|
ffff000101080000 |
|
VISUAL
dHash
|
849c37f1d5f1b20e |
|
VISUAL
wHash
|
ffff013d093d1802 |
|
VISUAL
colorHash
|
0a039000000 |
|
VISUAL
cropResistant
|
0380dc000000000c,7aefc307cb4f0f5f,3232962929f3e1f5,5c58b3b3b3a32424,8c8c8c8b8b8c888e,0000218786862000,3d33f1d5f9f3b20e |
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 75 techniques to evade detection by security scanners and make reverse engineering more difficult.