Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0C122E1C414DD37436386D8DBF56B0BB7D1C359CB421D40A3F883AB5BCAC60DA25AA9 |
|
CONTENT
ssdeep
|
96:TkJQSzeFvMSfuSTCctunpcFteXvHFdEP6XRz/vYrGJ:QJQSzeFdjWcknpBL2WzXCA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf37c0c83432b3a5 |
|
VISUAL
aHash
|
0000070787ffffff |
|
VISUAL
dHash
|
84634d5d5f130c0c |
|
VISUAL
wHash
|
0000070703ffffff |
|
VISUAL
colorHash
|
07000e00000 |
|
VISUAL
cropResistant
|
0000000000004985,634d5d7d53030c0d,8069858585856980,9b9b37336b696577,1414448c14280813,b1a1f1f0f0f270f2 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)