Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3A45571F380D429264381763F6FE948413AAE54EF06671BBC67DC219A856BD1B33B2C |
|
CONTENT
ssdeep
|
1536:r0Qbz7bz1tbzbbzObzWbzFbz9bzTbz1Ybzbbz5bzpbzFbzkbzNbz1zbzbbz7bzXP:rBQi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dbd3a2828ae6e2ca |
|
VISUAL
aHash
|
ff00001818000000 |
|
VISUAL
dHash
|
a98a5a7171442091 |
|
VISUAL
wHash
|
fff8a83c3c0000ff |
|
VISUAL
colorHash
|
300010001c8 |
|
VISUAL
cropResistant
|
00818169e18100ca,8a1a4a7171440091 |
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 6734 techniques to evade detection by security scanners and make reverse engineering more difficult.