Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F6235BB26732B8A843DB91DEF7382D46B2D54899F8CB4514F1C95ACE13C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aVXCl+EsZx8/G834ZDawdM5BFwBM5BwwzqN2/y9dGDUDF1E56ITmH+LXPnTyPqD4:aVXCl+EsZ/8IZDawdM5BFwBM5BwweN2k |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eee4917bc0943ac3 |
|
VISUAL
aHash
|
fff393b3f100ffff |
|
VISUAL
dHash
|
394767676751c400 |
|
VISUAL
wHash
|
ffb18181a0007eff |
|
VISUAL
colorHash
|
07c01000200 |
|
VISUAL
cropResistant
|
394767676751c400,5e4f9f91b1d1d9db,cfe2cc8b87666a6a,15a42f2b4b0e1d0d,01010100a280a2a2 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)