Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14DF31AED1310AEED148783F5BF24A6D8A34EE26ECA530D45D2FCC72925C5CBC9E19285 |
|
CONTENT
ssdeep
|
1536:B9KuPI9N3AE0P2yNNO8D3OH0sW5I8SzGVuNyF1bzcRjeAFuju6qkv8ZBX5I8SzGK:8oZ5ncLbWT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96cc6d269699c399 |
|
VISUAL
aHash
|
00007e7e7e660000 |
|
VISUAL
dHash
|
6507ccdccccc178c |
|
VISUAL
wHash
|
00007e7e7e7e0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
6507ccdccccc178c,656343c5a767642c,b3365054a4662908,4541057969690145,4141714d4d714901 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)