Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A0140B737288453B03E30ED0D2B92F4A77B6E381EA071142A6B443593EF6D54ECDA5E9 |
|
CONTENT
ssdeep
|
1536:puOCfKIfu1Fv6JaSHnlEuXV1XU9YXWmW9IUIyF8+AlanOgWeRr/NZ/jKMJS4rih0:v26FPPoOeDSHDwQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea63350c5e35616b |
|
VISUAL
aHash
|
00ffe1a5b9ffffff |
|
VISUAL
dHash
|
9629095d6109151d |
|
VISUAL
wHash
|
00e5e18181fdbdcf |
|
VISUAL
colorHash
|
07000000006 |
|
VISUAL
cropResistant
|
9e29495d6109151f,006196969e966281 |
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 135 techniques to evade detection by security scanners and make reverse engineering more difficult.