Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16AF1E7D3E108640A1312C9C1AED7E244F2368717CB56653AD9B650E3F3D9AF482767A2 |
|
CONTENT
ssdeep
|
192:Lp3lBluhF1vyYDYV9Hsqu959NtN8dPVIq:Lp3lBludyYOdsqo59NH8dtr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
834973670ce7cc66 |
|
VISUAL
aHash
|
00001e3f01ffffff |
|
VISUAL
dHash
|
e2d2f4ecebcecece |
|
VISUAL
wHash
|
0000180f03ffffff |
|
VISUAL
colorHash
|
03003000180 |
|
VISUAL
cropResistant
|
f8eceeebcececeea,c072c2d4ececeeeb |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)