Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EC5366715582BA3F154342D18F28935BA3C1D64DCF918997EAECC33AB287DA4EC2B534 |
|
CONTENT
ssdeep
|
1536:d0NVWNqImXp26JQ68c6Qy6h/6luqkxm/r8Ed1Emc3i1Q:iL+pm526JQ68c6Qy6h/6lrTQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc0ec3e369c292e3 |
|
VISUAL
aHash
|
ff1e1e9b8b8fdf8f |
|
VISUAL
dHash
|
69343433333a3932 |
|
VISUAL
wHash
|
fd1c0e01818f9f8f |
|
VISUAL
colorHash
|
07e00010000 |
|
VISUAL
cropResistant
|
69343433333a3932 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)