Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A9439632E3164D0640AAE5D4F2635B1D1286835DC7070BB676A857BE6ECECF57A1338C |
|
CONTENT
ssdeep
|
1536:9vejkHaTTeovEe+keeeBwezZfvSJB8z9Q:D+yXBQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e16c3232316dcdce |
|
VISUAL
aHash
|
c3c3fbc3efefefef |
|
VISUAL
dHash
|
969672969d9adada |
|
VISUAL
wHash
|
c3c3b3018d83cbeb |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
969672969d9adada,10a02860c8995767,64db39f199187270,4aaaac0960607030,888ca8ecc8a2a400 |
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.