Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9234A726732B4B843DB91EEFB382956B2D2988DF8C74550B1C95ACD13C3C806197BB4 |
|
CONTENT
ssdeep
|
768:au+EsZx8/G8UX4IDawcMYBEowZMYBERqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKs:au+EsZ/8UoIDawcMYBFwZMYB5N2/y9dG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a3339c9c191cdc6e |
|
VISUAL
aHash
|
0f2f616f6fffffff |
|
VISUAL
dHash
|
58dbcbd9da000000 |
|
VISUAL
wHash
|
0f00200023ffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
58dbcbd9da000000,61d0d8d8c4d4d4d0 |
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)