Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1329233B600CD2A4D8B5588F1C4968C525ED349FB3148CAB26091FF7BC5DF069A93AD |
|
CONTENT
ssdeep
|
192:cYcBcC7sbp/mjxfTMcnthWeNWb1THfMmUU8VCoC:bcBcC7sbpJTHfMmUFCoC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a25508756adcf6b2 |
|
VISUAL
aHash
|
0000ffffffffff00 |
|
VISUAL
dHash
|
22ce080c4d0c4949 |
|
VISUAL
wHash
|
0000e7e7e7e7ff00 |
|
VISUAL
colorHash
|
0e000038000 |
|
VISUAL
cropResistant
|
0c0c140c4d004949,2020202210e2e21a,0149b74949374805 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)