Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11563B532E2461503605B94C8F1768B4D73938788C6134FB537BD17B9EACECF96A22398 |
|
CONTENT
ssdeep
|
1536:ZJzdeA4E1EfsyDdVRMZVt3JRUqNGRu2hC5m2k222I2222222eR3dMda67dPd+dcg:t31EitxYl2k222I2222222eRtq5VE0gD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c926cd3099dbc6cc |
|
VISUAL
aHash
|
28007e6c40407c7c |
|
VISUAL
dHash
|
5227e0d88a8ad2f2 |
|
VISUAL
wHash
|
30807e7e42c27e7e |
|
VISUAL
colorHash
|
02000030000 |
|
VISUAL
cropResistant
|
5227e0d88a8ad2f2,439369f1222e3626,4b4b7198d8d08c4d,2525677747696b21,3692db4bd21a2b2b |
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.