Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FC6374B0A201577B02B3C6EA7735BF8DB291D602C62B5605A3E8930E5FC7C92DE6075D |
|
CONTENT
ssdeep
|
768:BO6YSEVEuC+elzgBrTNYSTl782u782NDpQXNfOxzyaif8:X4EzgBSSh782u782NDpQ9Wxzyj0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212eded6d7292c2 |
|
VISUAL
aHash
|
0000040000ffffff |
|
VISUAL
dHash
|
cbcdcdcdb2000e16 |
|
VISUAL
wHash
|
00002400dbffffff |
|
VISUAL
colorHash
|
1e200018000 |
|
VISUAL
cropResistant
|
0606decccc0e0e0e,9ca4a795d5d3aaaa,3636080d040e1616,96c9cccdcdcd86c8 |
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 68 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)