Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15DA2837192691023D223CFCDD4A67FBA72CAC61ECF0A441883BC5FE95BDBD22B486515 |
|
CONTENT
ssdeep
|
384:cwd/czj8OjVEnSreeXGeeaIJR2xOo6ryvrNr6iqtrN8Wcer1er7er+erOerherBx:cMktp3reeXGeeaGRJL+vpGiQZoehePe0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc59b326d9152ecc |
|
VISUAL
aHash
|
00f8f818980000ff |
|
VISUAL
dHash
|
109030b23337ee0f |
|
VISUAL
wHash
|
00fcfc18d8003fff |
|
VISUAL
colorHash
|
03402010000 |
|
VISUAL
cropResistant
|
0048983918991919,9497decfcfcfcfdf,f24dcc130dcc0808,1090b032b23337e6,cc4547e1753417d1 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.