Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190235B726332B87843DB91EEF7382956B2D2588DF8C74554B5C99ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aA+EsZx8/G8gj4RDawSMIB9wEMIBTwZUcix+y9dQpUDF1E56ITmHDLBABW8KPqDr:aA+EsZ/8gMRDawSMIB9wEMIBTwZUXx+x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fa6f953bc0856ac0 |
|
VISUAL
aHash
|
818181818181ffff |
|
VISUAL
dHash
|
2b4d496909196500 |
|
VISUAL
wHash
|
e78181818181ffff |
|
VISUAL
colorHash
|
030000001c0 |
|
VISUAL
cropResistant
|
2b4d496909196500,4b1e49496c0c981d |
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.