Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132134A726322B8A843DB91EEE7382D06B2D6589DF8C74454F1C95ACD23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aW+EsZx8/G8D4GDawlMLBMwMMLBSUcix+y9dQpUDF1E56ITmHDLBABW8KPqDvtAZ:aW+EsZ/8sGDawlMLBMwMMLBSUXx+y9d9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b30f8ece94c4d4cc |
|
VISUAL
aHash
|
bf03c3c7e3c3e1c7 |
|
VISUAL
dHash
|
685b5b0f5b4b4b0f |
|
VISUAL
wHash
|
bf8183c7c3c3c1c3 |
|
VISUAL
colorHash
|
07002000e00 |
|
VISUAL
cropResistant
|
685b5b0f5b4b4b0f |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.