Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T144A3BC23411935274437C2C034BA5B3BD1A69A9FFAE70E411EDCC7FA6AF9CA0745A12D |
|
CONTENT
ssdeep
|
768:TjltpR4nXF6YjOpSpFlTC6rrOCUt4DXZQ4LuX:TjltpR4nXBKpSpFl26vlNZQ4aX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212ec6db913c3cd |
|
VISUAL
aHash
|
00002c0c00006fff |
|
VISUAL
dHash
|
1e6469c9c9c78926 |
|
VISUAL
wHash
|
00043c2c3f21ffff |
|
VISUAL
colorHash
|
39000030000 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000020e060600040,0000a0c0a0a00000,024826c824261696,1ae46849d9c3c79b |
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.
Pages with identical visual appearance (based on perceptual hash)