Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14DF1F3E1D044DC3B135385E5B7B62B5F7596C345CF020E8853F852BA5BDACA0CA23A99 |
|
CONTENT
ssdeep
|
96:TkmrHkh4lzH0XfeGnVLizWFLDLh1f9wvFd2e2GXhHFue1Xrz/jVL1xQFR:QmrHkh4lzH0X1nAzW31EJ22vRz7fxQ3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e1c16b6b903e9696 |
|
VISUAL
aHash
|
427affffff0000ff |
|
VISUAL
dHash
|
8a8aa8b280091303 |
|
VISUAL
wHash
|
00627efeff0000ff |
|
VISUAL
colorHash
|
0f0000001c0 |
|
VISUAL
cropResistant
|
8a8aa8b280091303,9999b6b62729ac00,214976d41d411141 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)