Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T168A1613185D8502B022706E87E311F7ABD43961CCE23496D66BC87DABBE9CA5CD0DA0D |
|
CONTENT
ssdeep
|
96:TmnuYBbDIZ4klHhc0V8wv0J5+1gTMz7vdIjaLiew5LihsJJ3i+99q:6piOD3+1gA71IjOiZxiGJg+99q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3cc338c9999649b |
|
VISUAL
aHash
|
e7e7e7ffffe7e7c3 |
|
VISUAL
dHash
|
0c4d4d140c0c4c4d |
|
VISUAL
wHash
|
c0c0c0c0c4e4e4c0 |
|
VISUAL
colorHash
|
07202000002 |
|
VISUAL
cropResistant
|
0c4d4d140c0c4c4d,5a9999989a13232b,5918575511341633,5d80383c3c382018 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.