Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11AC275716100263F42D783DA7762B72F92F39289DB4A091552FDD35E4FF6E90CA1382A |
|
CONTENT
ssdeep
|
768:cSCy5N2Cei4qhqHZFl0eWX67jug7sOy2+y9BH4cLIe:feiQSijB7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936bb53acc2894cd |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1e49c0c0c9e99d00 |
|
VISUAL
wHash
|
81ef3830000cffff |
|
VISUAL
colorHash
|
39038000200 |
|
VISUAL
cropResistant
|
0080802058d08000,0e494ae0c0c9f90d |
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.