Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C63322362604BE3E96C783A0E775F77DE2A98384D61B871DF3EC01255BCAD49DC22254 |
|
CONTENT
ssdeep
|
768:VO8zlz9OEkrBWN6pzA5jmUBNKVKnIKidD0WQ8Rz8Oa5/M0FutJ:RRkpzA5Aqj7Oa5w |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3553c31c6c6c73c |
|
VISUAL
aHash
|
0080f074646001fd |
|
VISUAL
dHash
|
9401c5c5cdc92b55 |
|
VISUAL
wHash
|
02f0f0f4647407ff |
|
VISUAL
colorHash
|
38003000600 |
|
VISUAL
cropResistant
|
9401c5c5cdc92b55 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.