Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CB13D83118846F2B56E383D56350EF0BF2A79180E23ACA4BF5E6831B27C9D55CC27A5C |
|
CONTENT
ssdeep
|
768:q4GdNAOSaD7x+nmBenbio0yA5xqGYmTC8SO273VPZajwe50vxQMHp443uhc52dVc:q4+OOzdFBeNnALqG9TC8SO27nOwcWQUH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9449eb948eb4e2cb |
|
VISUAL
aHash
|
ff000016360606ff |
|
VISUAL
dHash
|
7171ecececac8c39 |
|
VISUAL
wHash
|
ff000636366606ff |
|
VISUAL
colorHash
|
03000000038 |
|
VISUAL
cropResistant
|
0001416b6bd50004,2428787858787878,96d6e8b0904d0f8e,f8f8b8f8e92c3c68,0000000d3d3c012d,32f1ececece4ac8c |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)