Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D1D43CF09391AABA808757D0B460F359E357A32AEB57D58CF7DC8B547BCEC2A8C10590 |
|
CONTENT
ssdeep
|
6144:Bf2v4vDTAb2a2xOYw16nBRlr3Z9F1Kvqmfoe:BVvDEy/8LonBRlr3Z9F1Kvqi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3253e22c1dee374 |
|
VISUAL
aHash
|
4000f87c7060fcfc |
|
VISUAL
dHash
|
d8c0c1d1c2c989b1 |
|
VISUAL
wHash
|
4440f0fc7864fcfc |
|
VISUAL
colorHash
|
00007000080 |
|
VISUAL
cropResistant
|
b332184d691a1a71,a8645a5a5a9a9410,d8c0c1d1c2c989b1 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)