Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BC93963622492E6B1A4352D0821DB749E7C7CB0DC3DAE556B7AC839B7783DD1C9392E0 |
|
CONTENT
ssdeep
|
1536:awFim2Nmaga/3w1szUB4fOZMzaK7bryyYgF9zzH/q6sd3flJkVEk7LJpA41w2PK0:rcGIUZs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2506cbe969696bc |
|
VISUAL
aHash
|
00003c7e7efff3ff |
|
VISUAL
dHash
|
cc93ccd0cccc27cc |
|
VISUAL
wHash
|
00003c7e7eff91c7 |
|
VISUAL
colorHash
|
0e0060000c0 |
|
VISUAL
cropResistant
|
ccc8d4cccc238c0c,8c89d093c0c8dcd4,4551253131394551,80ed252dedada2a9,01456171714d4180,a425440401dc8c9c |
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)