Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BBD2AA3261107A3B01E7D1CA7372672F62E3434FEB460516A2FE87AD0BE7D14DA5721A |
|
CONTENT
ssdeep
|
768:8eIhPZMxs5Zvne5UsS7sOy2+y9BH4crIe:mPZRZve5bS7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d305b434bd34c5e5 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
d4ccc4d0c8cc8c00 |
|
VISUAL
wHash
|
027c74302064ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
0c80880458988000,d4ccccd0c8c8cc8c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.