Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3E1FFE1C014DD36031396D9B7F5AB5BB762C388CF07094467F4836BABCEDA08B61599 |
|
CONTENT
ssdeep
|
96:TkfOsetUOZOpenzH0LzjOSTKKiEdt7Jz6F4iXMHFSqXzz/IPvSTu180R:QfORth4YnzH0L7LiEdrz/1zT61r |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9939e4c6c61919eb |
|
VISUAL
aHash
|
ff0f0f0f0f0f1fff |
|
VISUAL
dHash
|
9b5a5b5adada1a00 |
|
VISUAL
wHash
|
0f03090f0f0f0fff |
|
VISUAL
colorHash
|
06001200180 |
|
VISUAL
cropResistant
|
9b5a5b5adada1a00,bb3be4383ba7af2f,1383c4d48ababe8e |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.