Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12BA3BC27422935274437C2C534BA5B3BD1A6D99BFAE70A010EECC7FA6AF9C90741B11D |
|
CONTENT
ssdeep
|
768:2gtpR4nXF6YjOpSpFlTC6rrWmWZM37BJDlg9AgDl:xtpR4nXBKpSpFl26vbWSHcAgDl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83b96cc6789c9167 |
|
VISUAL
aHash
|
ff002f0e3e7e3400 |
|
VISUAL
dHash
|
c9cfd8f8cccce44f |
|
VISUAL
wHash
|
ff012f0e7e7e3400 |
|
VISUAL
colorHash
|
18006000040 |
|
VISUAL
cropResistant
|
a494e8cc869612f6,4700000000000000,c8cfd8f8eccce44f |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.