Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132A3BC23411975274437C2C134BA6B3BD1A6999BFAE70A400EECCBFB6AF9C90745B119 |
|
CONTENT
ssdeep
|
768:o1Qi6tpR4nXF6YjOpSpFlTC6rrWq9Sgxz9GirIPtV7o0X:o1QztpR4nXBKpSpFl26vnRxz9G7Pz73X |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8339fcc6ea1c9163 |
|
VISUAL
aHash
|
ff000e0e7e7e00ff |
|
VISUAL
dHash
|
c8cfd8e8cccc6c87 |
|
VISUAL
wHash
|
ff000e0c7c7e00ff |
|
VISUAL
colorHash
|
11006000040 |
|
VISUAL
cropResistant
|
b494e8cc829692f6,d500000000000000,c8cfd8f8ccccec6d |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)