Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E363837142C66E3F218382D08364E37AD7C3D605D7678A8AEBE8931B26C6DB5DC36134 |
|
CONTENT
ssdeep
|
1536:ad/uQT2DcU30H04CAS1m0pi/sG301yx8RQ88C:aKtpFR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e84182bc376eb693 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
86d383331c37270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
915456ba922b2b46,38789d9c8c8c8d8f,2529d5dcaaa21656,82a28a969696a882,c53a382323400f4d,9687b3d3932b3397 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)