Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11C61B53538204D6E373391B4EED7710D94EA630FCB69AD1AB26A03E661C0DF88476135 |
|
CONTENT
ssdeep
|
96:bmsUJC9k2niC8Ew3CZMGMHR8d13INBWptl3L:bms/xbv3INBWnl3L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a8506871513ff5ae |
|
VISUAL
aHash
|
0000ffffffff87ff |
|
VISUAL
dHash
|
82b2961ae8475725 |
|
VISUAL
wHash
|
0000f3ffffff0101 |
|
VISUAL
colorHash
|
0e1c0010000 |
|
VISUAL
cropResistant
|
a69619c580577725,008292929a00b2b2,e7a723273735355c,6565660a2a6a6746,aaaacec9a9293517,9a1951424a425654,e9695494b4d6ce4c,e2e2ea4a5a4a18b4,a54544697414868b |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)