Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12041817208619C7B5283D5E49B70BB0BB1CBC686DF270B861BF4C35D1AD1ED0CE12A60 |
|
CONTENT
ssdeep
|
48:MQHYfTwzwFI0fT51ULddTGK/xe2F044rZYcPK:ozFt6KqA44dPK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc2676c9cd88d9 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
36cdb2b2b2320eb2 |
|
VISUAL
wHash
|
10307dfbf89b0279 |
|
VISUAL
colorHash
|
0e006000040 |
|
VISUAL
cropResistant
|
b6aa8ef2e2807153,36cdb2b2b2320eb2 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)