Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167225233A600DD5A4DA765C8F1C49588521DC349FB3188C7B1A491BF7BC4EB0A9A93AD |
|
CONTENT
ssdeep
|
192:53dd4yCd7xIMcnthWeNWbzvFgfMmUU8VCoDos/v+eM:p4yYvWfMmUFCocp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6c9393cd2c90d9 |
|
VISUAL
aHash
|
f1f1f1f1fb0707ff |
|
VISUAL
dHash
|
27272727035c4f00 |
|
VISUAL
wHash
|
f19191f1810707ff |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
27272727035c4f00,fefc71fce869defc,000024b2b20c1000 |
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.