Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AF324123A500CD6A4D9B66CCF2C09A88455EC345FB3148CB71A491FF7BC4DF0699A79D |
|
CONTENT
ssdeep
|
192:F8k3JsYcxcjchPJ/mdsxVpMcnthWeNWb7SwfMmUU8VCovp9:Pcxcjchf6SwfMmUFCovp9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8cdd227722772276 |
|
VISUAL
aHash
|
1818181818000001 |
|
VISUAL
dHash
|
b2b2b2b2b24d3001 |
|
VISUAL
wHash
|
1c1c1c1c18000001 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
8ecc72b2ea32b082,b2b2b2b2b24d3001 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.