Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18D0342BFB0196C7F0097A5C586A4B13D73C24A5CDA46C7D852BDCB187EF9CA09E1290B |
|
CONTENT
ssdeep
|
384:3ajhFIIJ7qfIIIII9ylBFdUacyMbK/1kn2S89AxRBpW:qjhFIIR2IIIII0UarM2/1u2v90u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6e3791c1969c6c6 |
|
VISUAL
aHash
|
00c1f7ff7f3c1818 |
|
VISUAL
dHash
|
c78fcfd3e5e1f0f0 |
|
VISUAL
wHash
|
00c0f7ff7f3c1818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ca9d888c0c,0010687171080000,c78fcfd3e5e1f0f0 |
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)