Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9435F30A4519A3B00EB85EA9272575A72F58308D6230689FBF8C3FE4FDEC19DA37145 |
|
CONTENT
ssdeep
|
768:m14444ICssx/jB6haAs6j1pyqdOZf1bH0njVljoOHjcQuaZvCEwy4BTUf7ZF:y4444ICssxwfXSfGHoiDXvC9y4Bs7ZF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ab29d5da32a4d51a |
|
VISUAL
aHash
|
0101030100ffffff |
|
VISUAL
dHash
|
fbdbf3cfc9392a8a |
|
VISUAL
wHash
|
0303030101ffffff |
|
VISUAL
colorHash
|
13002600008 |
|
VISUAL
cropResistant
|
fbdbf3cfc9392a8a,fbdbdbfbfbcfcd28 |
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 83 techniques to evade detection by security scanners and make reverse engineering more difficult.