Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E1E2F2709161536F10FF9AA537A0B71FE79487A4D617C90AF3B4F3C6068AF05EB01A64 |
|
CONTENT
ssdeep
|
768:dSilqrOU+XpP/T/U/3/9/n/AmJzIDwzTS0Ya6/PMdlPu3YIuZ+ZrEbX5RQXai43/:dtpXjGPB/A4zIDwzTS0YG/fg1W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926d69926d59b4c5 |
|
VISUAL
aHash
|
000020217fee0e00 |
|
VISUAL
dHash
|
a2c4616bcc8cdc53 |
|
VISUAL
wHash
|
00043cbfffff2e00 |
|
VISUAL
colorHash
|
1b002200000 |
|
VISUAL
cropResistant
|
2164e4641e4ece5c,82c089895adaccae,a2c4616bcc8cdc53 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)