Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19A2349726722B47883DB92DEF73C2E56B2D2948DE8C74550B5C85A8D23C3C816197BB8 |
|
CONTENT
ssdeep
|
768:axJSV+EsZx8/G89dRF4yDawNMLBawvMLBEUcix+y9dQpUDF1E56ITmHDLBABW8KZ:axJSV+EsZ/89vOyDawNMLBawvMLBEUXZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b73fcec04064f670 |
|
VISUAL
aHash
|
000f07034fffffff |
|
VISUAL
dHash
|
78792cbe9e010000 |
|
VISUAL
wHash
|
000f020206ffffff |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
78792cbe9e010000,514913b8c8714545 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.