Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19FA34336A23A1413515FB2D8F2648B193293C78AC7534BF662B912F6BBCEC75791318C |
|
CONTENT
ssdeep
|
3072:59k3LQGlgjXIPN0yN/1hWcwFBZ7w9Yd0WhZWRq:594JwON0yN/1hWcwFBZ7w9Yd0WhZWRq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b34c7b32cb074536 |
|
VISUAL
aHash
|
81c1307ec74646ef |
|
VISUAL
dHash
|
032be2da8b8e989b |
|
VISUAL
wHash
|
01c1307ec7c746ef |
|
VISUAL
colorHash
|
06200038001 |
|
VISUAL
cropResistant
|
032be2da8b8e989b,099964f1330f2b26,97c56931f1e1a0ac,38797cd54e66d3db |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)