Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A533E863134C4DFA35BFD786E90CBF95F205AC0ACA0A4AC5B6D5C14C75CCEA94932B49 |
|
CONTENT
ssdeep
|
384:0g1pmdZnbNUpemlNmcuXw/QWhT14CEf+sal5jC3ZK8LeLunkYL/jt97fHZY6ruvJ:LrQZnbKemlUcuXw/tbn3s7fO6yyvvfmh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8149ee6be9c98da1 |
|
VISUAL
aHash
|
ff0000000000ffff |
|
VISUAL
dHash
|
2344d29a92310c0c |
|
VISUAL
wHash
|
ff003c3a0000ffff |
|
VISUAL
colorHash
|
1b200030000 |
|
VISUAL
cropResistant
|
0023632323730244,00000e0c08160e08,a1d4d6b2da923038 |
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 75 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)