Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E7F20A316404A9374683A1D1A7349B1FB3D2D385CE634B01A7F8874D6FEBCA5CE9631A |
|
CONTENT
ssdeep
|
384:9Q+kxBoQ06AS3cO2rw3AHxyDTmnXiNxoMtH3u5E3NqKTAIVgEDY:9Q5xBL06AS36y/eCj3cSvc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b50d6a1bb525c69a |
|
VISUAL
aHash
|
420066664f0600e6 |
|
VISUAL
dHash
|
9699ccc69cd4830c |
|
VISUAL
wHash
|
7e0076664f6e40f6 |
|
VISUAL
colorHash
|
38000007000 |
|
VISUAL
cropResistant
|
78e8cfca9a92d4e0,f8e4c68ebc98e0f0,08304c4d4c080000,9699ccc69cd4830c |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.