Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DC81A6E3644E80B3609797E1E292379F598BDB41EB010D17D6BC0F8DA185F85B07709D |
|
CONTENT
ssdeep
|
96:08UPBc0NJA0PDUtmR1ZaNvvekHVs51exhKAatPgTwR:HUPBc0NJA04cR1ZgO4GAKhPgE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88dc54336673b366 |
|
VISUAL
aHash
|
3c18181818181818 |
|
VISUAL
dHash
|
7032337171f171f1 |
|
VISUAL
wHash
|
3c183c3d3d3c3c3c |
|
VISUAL
colorHash
|
19600010000 |
|
VISUAL
cropResistant
|
dcccd48a8e84b68c,7032337171f171f1 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)