Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B973547045A4153642ABDBD5FABA336730F6D2AEEE0A400CC3EC879E57C6E80FD51A54 |
|
CONTENT
ssdeep
|
1536:+0ie5edeyeXeSfaA4GGGLqK/19zXhhhhkhhhhVhhhh9hhhh3NIhhhh6PhhhhNshj:+P0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc61c39c9cc3633c |
|
VISUAL
aHash
|
ff9f819f9f9fffff |
|
VISUAL
dHash
|
a0330b203633536c |
|
VISUAL
wHash
|
1e9f819f9f818187 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
a0330b203633536c,0008101010100800,d1c996925a121652 |
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 4268 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)