Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18F234A72A332B86843DB92DEF7382D55B2D25889F8C74554F1C85ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:asFkl+EsZx8/G8xI4RDaw2MIB0wpMIBIwZUcix+y9dQpUDF1E56ITmHDLBABW8K6:asFkl+EsZ/8x7RDaw2MIB0wpMIBIwZUq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3fd0c062c5d232 |
|
VISUAL
aHash
|
9d0f0f0101fffbff |
|
VISUAL
dHash
|
797b7f535d334269 |
|
VISUAL
wHash
|
1d01070100fffbff |
|
VISUAL
colorHash
|
06600010000 |
|
VISUAL
cropResistant
|
797b7f535d334269,fb79d99cfce6a3a7,c8d8587a7358d8c8,bcf3fdfdd7dbcfbc |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.