Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14733C9F460306039214702E9E7B4A78A92B7C30ECF5399D5F6EE83F85BD9DA2491905F |
|
CONTENT
ssdeep
|
768:DHQSi6W7RPNEDnHFEgEGEFdwE8wEGwEQEEEqE9EeEzQlQ6QKqeggeJiseLitEJr9:afVOHEdespStzetelePr1HdHQayw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6e91c98a93c938 |
|
VISUAL
aHash
|
fdf181f1b1f3cfc7 |
|
VISUAL
dHash
|
412727272707088d |
|
VISUAL
wHash
|
f591819191f1c7c7 |
|
VISUAL
colorHash
|
06c00010000 |
|
VISUAL
cropResistant
|
412727272707088d,5c3f6571b8ce165f,c0081105a1c40338 |
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 670 techniques to evade detection by security scanners and make reverse engineering more difficult.