Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AB23A270B0946A3B01D391E1B2319B5BF3E0828AC733474A72FDD3596BDAC47EC16699 |
|
CONTENT
ssdeep
|
768:tfc1aU6Z28bg5BfNEqZvVj0R+ldc+Z0WB1YzZ:K1au8boBfNEgvVj0R+ld7HB1YzZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
86c7381d4f7838c7 |
|
VISUAL
aHash
|
0075777c7f1f0000 |
|
VISUAL
dHash
|
34cdcde9e5bb9743 |
|
VISUAL
wHash
|
0077777cff3f0001 |
|
VISUAL
colorHash
|
33001030040 |
|
VISUAL
cropResistant
|
acac2cacac2cacac,34cdcde9e5bb9743 |
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 71 techniques to evade detection by security scanners and make reverse engineering more difficult.