Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190C3DD33521835274137C2D530A9577BE2969E4FFAE70A014EECD7FB2BEAC90B41A119 |
|
CONTENT
ssdeep
|
768:9eV6xZ/DFTk9PhwfjTOIhIEBa4MuVivG1TJLBGeH9tH6feeWEwC:9eKZRTk9PSGIhIEBa4MuokIeH9t/eHP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc534767133c611e |
|
VISUAL
aHash
|
00ff9f8ffff393ff |
|
VISUAL
dHash
|
8604343d2d233387 |
|
VISUAL
wHash
|
00fe928f87d183f3 |
|
VISUAL
colorHash
|
070010002c0 |
|
VISUAL
cropResistant
|
2424341d2d2333c7,ff8f8f4f5fcfcf7f |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.