Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17543C8706180AD72410783E4F7B2D7AA32558156DB8B878482F0AF9A9FE2DC1CEC755F |
|
CONTENT
ssdeep
|
768:wbqdfcg5wA0cEvfvLNM+DMbEVW0vZKT9444oSkJc:VZcg5wA0lvfvLNp9s0Kh444FkJc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c768b138bec3e0c3 |
|
VISUAL
aHash
|
0100703004007e7f |
|
VISUAL
dHash
|
23cac3e2edbdc8c4 |
|
VISUAL
wHash
|
010070710f1f7fff |
|
VISUAL
colorHash
|
38200030200 |
|
VISUAL
cropResistant
|
23cac3e2edbdc8c4 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.