Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19D33D6ADD2215139C68647DEBF7878D4B90EB8EDDF22166C906DDA4469C3FE8F0409B0 |
|
CONTENT
ssdeep
|
1536:2dWDtfdNmaGoaGua8ja8xa8Kan2anQanJaGQaGWa8Ra8pa8GanZan4anwqpaiXaQ:2dWDtfdNKqH/08lUO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4137313711b31cf |
|
VISUAL
aHash
|
0000ffffffffffc3 |
|
VISUAL
dHash
|
cc0c2e1caa2a3296 |
|
VISUAL
wHash
|
0000c3cfdbc3ffc3 |
|
VISUAL
colorHash
|
0e0000081c0 |
|
VISUAL
cropResistant
|
0f371c2aaa2a1696,40304ccccccc2548,41b661e04569b649 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.