Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BB05F47AEC0C6E09707A75CDE3DC4D8FE995F357E26218E696C5DF30818A814B81A87C |
|
CONTENT
ssdeep
|
1536:TI2QNhNC8eqkfWKw1FwkGutEqshNC8eqkfWKwFPw+cutEMnxdJQg/93KFYRCt6B8:E2QNhNSBGEqshNSBGEk3p1Xy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9794e16314b4f49 |
|
VISUAL
aHash
|
00ffc9cfcfffffff |
|
VISUAL
dHash
|
7916939b92122072 |
|
VISUAL
wHash
|
004a494b4b0bffbf |
|
VISUAL
colorHash
|
07000200030 |
|
VISUAL
cropResistant
|
7916939a92122072,041a5a7a3a1a5a04,9521270d3a736f7c |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)