Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DFA34CF1E1B051BA014BE3D5FA227B19329761F9DB9243C582E4DF986F8AC48DC1ADC4 |
|
CONTENT
ssdeep
|
1536:Pvc34SXJJFDXG8PWTMQI54KUuacTAxPE+:Pvc35XnFLvsvKUu/kxf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9394746305b4b79 |
|
VISUAL
aHash
|
00dfc9cfcfffffff |
|
VISUAL
dHash
|
79371b9a1a2a33f3 |
|
VISUAL
wHash
|
00cb8187838bf9ff |
|
VISUAL
colorHash
|
07280000018 |
|
VISUAL
cropResistant
|
793f1b9a1a2a33f3,241a5a7a3a5a5a04,7b93e38633760f63 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.