Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AF4283715550BE7F409393E807B8EB4EA3C0D392C6574A01E6FA93ADEFDAC54C90EA41 |
|
CONTENT
ssdeep
|
192:cHgugBs8TXA/RCsL8n23aIZ2443aIZjFfcHf4F8ZM9Gp4gjf+nbfRQvDIOtHk:cHgdX2RCsLH3+3/Ffk6b1gj2bnyE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee4c6381931e1e3e |
|
VISUAL
aHash
|
bff190f0ffffe7e7 |
|
VISUAL
dHash
|
61032725002c0c4d |
|
VISUAL
wHash
|
b08080e0ffc3e7e7 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
61032725002c0c4d,3230b4b4b55110b1 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)