Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F29293B26308A7FE24D7C7F57B5EB73AA124C187E4B7918990DDC668478BC88DE16340 |
|
CONTENT
ssdeep
|
192:jcRCDRPR6RIRg+pND+hNSZ+XP4dmZhzUUUUIkzUUUUCzUUUUAMV0kVXhjVHzVmG+:j4CdJ209DkFM6k5hjBzD+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a3d8bcc3c6c4e19c |
|
VISUAL
aHash
|
ff0001252767070f |
|
VISUAL
dHash
|
3fffffcdcdcfff7f |
|
VISUAL
wHash
|
ff0101373767070f |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
195923232369a9ff,4b4d11e5334664c4,a48080aeb6c08092,afdeaf6fefdfbf7f,ffffcfcdcdcf3f7f |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)