Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E845A362B610E87750D75BD9B1312603A2D6F703D6C686C8E2FBA3B457D3A33711B898 |
|
CONTENT
ssdeep
|
12288:gpQpv8taKx85OepvrdFuzaDvqWOa8lGM77YjcHLk7q:gipvPKmpv3YaDvqWOa8lGM77YjMLk7q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb413462cbbec3b4 |
|
VISUAL
aHash
|
0000ffbdfdfd81ff |
|
VISUAL
dHash
|
6051696969692f7b |
|
VISUAL
wHash
|
0000fdbdbdbd81b9 |
|
VISUAL
colorHash
|
17602008000 |
|
VISUAL
cropResistant
|
69696969692b2f7b,0004616969064909,715149e15951454b,29565404070f6667,f445477315152959,0f0306864f435141,4945491151191353,6634148c0016562e |
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 1627 techniques to evade detection by security scanners and make reverse engineering more difficult.