Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10EA34376923A2813515FB2D4B2648B193293CB9AC7134BF662B912F6BBCDC757D0318C |
|
CONTENT
ssdeep
|
3072:rUdueQGlgX1IsEcnZIXl0hbOzo2MCKvoBWocAkq:rUjJcZEcnZIXlgOzo2TKvoBWocAkq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f14c3932c98ced36 |
|
VISUAL
aHash
|
c181f1ffc7c7c7ef |
|
VISUAL
dHash
|
232b23d28a8a88da |
|
VISUAL
wHash
|
8181317a4747c7ef |
|
VISUAL
colorHash
|
06200038000 |
|
VISUAL
cropResistant
|
232b23d28a8a88da,099965f1330f2b26,97c56931f1e1a0ac |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.