Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16A0274A1D054DD36075281D6FBF63B6F7AB1C305CB420A8452F843AA5BDECA1CA22999 |
|
CONTENT
ssdeep
|
192:QgbJ/zYhhjMl8iJFdYM4QkDnLdXGU7lI8F:QqGj41JFeMzMLYey8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a17d835e82de08fc |
|
VISUAL
aHash
|
ffc3c1000000ffff |
|
VISUAL
dHash
|
1496869631a200c0 |
|
VISUAL
wHash
|
ffc3c3000000ffff |
|
VISUAL
colorHash
|
06007000080 |
|
VISUAL
cropResistant
|
419686a2869631b1,9595731616a5858a,00000000c000d0d0,6091d8f4c4ccc930,b030303040109110 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.