Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AF43FC306442993B42C7A9D59232172AA3F58344CA130A49FAF9D7FA5FDFC68CE37160 |
|
CONTENT
ssdeep
|
768:ljkZsIx/jPgEAs6z5wkxW0ae5PVC1As6s69F9FOUwFuVUf79F:FkZsIxbgTXVae5PVCaXX9jFO7FB79F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee2691cb4b5a360e |
|
VISUAL
aHash
|
fdf781d1b1f1fdff |
|
VISUAL
dHash
|
71a5252767659904 |
|
VISUAL
wHash
|
bdf1808130b0f9fe |
|
VISUAL
colorHash
|
07202000080 |
|
VISUAL
cropResistant
|
71a5252767659904,1d5c74333a302a8f,814193195ddccc2d |
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 69 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)