Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E6A3CC23421935274437C2D134BA5B3BD1E69D9FFAE70E010EDC8BEA6AF9C90745A21D |
|
CONTENT
ssdeep
|
768:VPLzstpR4nXF6YjOpSpFlTC6rr0LVRAV8vCsk7DLRpX:VPLwtpR4nXBKpSpFl26vwqe6sk7DLnX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f43ec6c901347e5 |
|
VISUAL
aHash
|
00002c0c0000ffff |
|
VISUAL
dHash
|
2067685878657a04 |
|
VISUAL
wHash
|
98303c3c1410ffff |
|
VISUAL
colorHash
|
17c00000080 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000000e060600040,000080c080a00080,7881506c261c3666,2065644878786566 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.