Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15FB3B735A24166BE65474FB0B3AC633C2266F24AFA13995DEBB801336FC6FF35460254 |
|
CONTENT
ssdeep
|
3072:k+T33T7KYNx0+fV2ycx1ziGz0YBxLbzKM9ykykQfm1xSNxNBFAA91ngR7E1jBix:k+T33T7KYNx0+fV2ycx1ziGz0YBxLbzp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3873c3894c7c73c |
|
VISUAL
aHash
|
6600707074606000 |
|
VISUAL
dHash
|
d631c4c4c4c4c020 |
|
VISUAL
wHash
|
ff30767676766000 |
|
VISUAL
colorHash
|
380012001c0 |
|
VISUAL
cropResistant
|
341adac935356446,d631c4c4c4c4c020 |
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 60 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)