Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T196C39372E792B42B117B80D4E671DF1B63900386CBA24BD5FBF409E7E6CDC54A82705A |
|
CONTENT
ssdeep
|
3072:NAr60HQZn+3QZ8nPQZ48wQZ+FL/Nfrr/Nid7/NRUM/Nu74dazmEdau/kda4TrdaD:NJlE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c31cbc43c33c539e |
|
VISUAL
aHash
|
000000606060ffff |
|
VISUAL
dHash
|
f0c7d0c8c8c8c820 |
|
VISUAL
wHash
|
1c7060607070ffff |
|
VISUAL
colorHash
|
070000180c0 |
|
VISUAL
cropResistant
|
2929292969292929,9a5ac28ed7802e86,414000806060c423,38c7c0c8c8c8c8c8 |
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 3072 techniques to evade detection by security scanners and make reverse engineering more difficult.