Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5D295327110263B119783CA7762F71FB2E39245DB85091562FC836D5BE7ED8EE2342A |
|
CONTENT
ssdeep
|
768:DeFy5NimzVi2kh525aXGeAp4eEYhFVS/q27sOy2+y9BH4cLIe:zzVi2kh4leANlS7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f43ab729e1c4 |
|
VISUAL
aHash
|
002070000000ffff |
|
VISUAL
dHash
|
ccc5c3c3cdcc8100 |
|
VISUAL
wHash
|
00fd71710400ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0080800458988000,cccdc3c3e3cdcd84 |
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.