Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1413386B221466A2F018385E5D71CEA2AD3D9D609C7638E87F7ECC33752CEDA09D35194 |
|
CONTENT
ssdeep
|
768:TuF+geiIQAeJwkF58vQyL1qKsII6yd5zF+geiIQAeJwkF58vQyL1qKsII6yd5oep:KLz+0pyeaWU00vxTAa8j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ce7c3b0189ab8 |
|
VISUAL
aHash
|
fb839f9fdfffffff |
|
VISUAL
dHash
|
cb2e3131b1f11d4d |
|
VISUAL
wHash
|
00001c1cdcdcffe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
cb2e3131b1f11d4d,5a9989cbcd4d45e5 |
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)