Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10B13BC30660835A7526B94C0BC30BF597193E35FC14785606BBDE2650FC7EA1FA1A8BB |
|
CONTENT
ssdeep
|
768:u9/tnkZq727AxcC5ImlB94lNJC6ZgiBLJrS/uNOhDzw72HS79p7WA77o7UG7xQA:u9/tnkZq67AxcCOmlB94lNJC6ZgiBLJ0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7c73078adc9383c |
|
VISUAL
aHash
|
007e3e3e3e000000 |
|
VISUAL
dHash
|
cecce8f0f4f09384 |
|
VISUAL
wHash
|
6d7e7e7e7e180002 |
|
VISUAL
colorHash
|
380020001c0 |
|
VISUAL
cropResistant
|
d54dc5c4f191f070,7f7fffbf3fcfcf7f,cecce8f0f4f09384 |
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 262 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)