Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T183221C33B600DD6A8D9756CCE2C09589451DC386FB3148CAB1A091FFBBC0DF0699979E |
|
CONTENT
ssdeep
|
192:n0Vgk3JLdpByGqBnxSiMcnthWeNWbZfMmUU8VCoSqRDr9ppe:QpBy7iTfMmUFCojI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b13133cececec688 |
|
VISUAL
aHash
|
c3c3c3ffffffffff |
|
VISUAL
dHash
|
0c9e960c30000001 |
|
VISUAL
wHash
|
0303033f0f0f0f0f |
|
VISUAL
colorHash
|
070000101c0 |
|
VISUAL
cropResistant
|
0c9e960c30000001,0000000000000000,8000000000000000,791966726e72314d |
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)