Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6D2CB306804DD2A41DF99D95672562A26FA8385C61306C9FEF8D7F95BEFC6CDA33100 |
|
CONTENT
ssdeep
|
384:y1BtPjkCsrlGOwhBWnoKS6TkTbjkusJO5xVZjqTSWgNwvx+roUa871ft:yntLvsr9TGbNsIx/jOf/Uf71F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d4db6baab0a4a4a5 |
|
VISUAL
aHash
|
fcf8fcfcdcf1f0f0 |
|
VISUAL
dHash
|
0900003434272104 |
|
VISUAL
wHash
|
fcf8f8c0c8f0f0e0 |
|
VISUAL
colorHash
|
06007000080 |
|
VISUAL
cropResistant
|
0900003434272104,40c0c0a08080e8cf,cfbe9e9e9e9edede,4701290130761773 |
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 77 techniques to evade detection by security scanners and make reverse engineering more difficult.