Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10683FC23D3735412907FC1C4B0BB4B4A22D2469DE6434B75E3ED63BEA9CFCA63612259 |
|
CONTENT
ssdeep
|
1536:uTeeeeee/AeeeeeeeleeeQeeCezeeeeeeheeUXBeeeeeeeAeGe6eeReeeeeeeOe9:XpPUgOq6Nf59rYapIGaLeRhQZk222I2Y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9ce30c9c39293cd |
|
VISUAL
aHash
|
c1c1f3fff9c9c1c1 |
|
VISUAL
dHash
|
aba7a7c3d39b8b8b |
|
VISUAL
wHash
|
c1c1f1f9f9c1c1c1 |
|
VISUAL
colorHash
|
07200030000 |
|
VISUAL
cropResistant
|
aba7a7c3d39b8b8b,33d490e414152d29,637bf8e4d4e0d95c,6f6b392b2b3323d8 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.