Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C92A67007081B3DC5CB87E4D255F638D3AFC2F9FB1A929CF95D82905781D18DAABA90 |
|
CONTENT
ssdeep
|
384:qHg4Q14Qs4Qx4QV4Qk4QC4Qo4QG4QG4Q/4QjJ2NjaNcFK:qHQyQLQ2QSQDQtQvQpQpQQQjJkaNcFK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c18dcf9d38b838f0 |
|
VISUAL
aHash
|
1b3f0e3e7868fce0 |
|
VISUAL
dHash
|
f2e8a8a8a888c000 |
|
VISUAL
wHash
|
1b3f5a5a5858fcc0 |
|
VISUAL
colorHash
|
10007000000 |
|
VISUAL
cropResistant
|
f2e8a8a8a888c000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.