Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11E023EF2C010DD37470286C5FBB56F0B7691C745CB43194697F883AAABCACA0CF6259A |
|
CONTENT
ssdeep
|
192:Qyg7QzD0T8iIlsQIMiNbpnX8aIMMuIMykIM2ObjQR:Qci1os9McdcMMbMyRM2ObM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6c9393934c9393 |
|
VISUAL
aHash
|
f3f3f3f3ffffffff |
|
VISUAL
dHash
|
2626272606180600 |
|
VISUAL
wHash
|
f3d1d191f7ff0000 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
2626272606180600,dcf0b3fce8f9fcff |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)