Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F363657202866E3F208382E5875CE35AD3C2D609D7674986E7E8C31F27CBDA4ED35568 |
|
CONTENT
ssdeep
|
1536:ctoF48ODUDczT0cymuQh440Tiu8P301Cx8RQ8R/:zN/T7B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e84187bc356cbcd1 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
86c983171c33270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
9054569b9b2b4340,38789d9c8c8c8d8f,c53a382323400f0d,968fc9c98b33138f |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)