Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11CF3C87023117DFB01978BF462E5AB5EE2CDF34AC5A3CA4962FC83766B92CA4DD41640 |
|
CONTENT
ssdeep
|
3072:qkCR6vo8+zKfFi0yS1CvsxjG0h0Af1UZVoIH6z3mm:qkLmm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
997333cc66896666 |
|
VISUAL
aHash
|
1818181818181818 |
|
VISUAL
dHash
|
b2b2b2b2b2b2b2b2 |
|
VISUAL
wHash
|
18183cffff3c1818 |
|
VISUAL
colorHash
|
01000000e00 |
|
VISUAL
cropResistant
|
8880606576f6f9f9,ae2eb8a913bab9b1,b2b2b2b2b2b2b2b2 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.