Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11662D872B0106D265A37C6FAF9F2B70E9392E709C7430695A2E44B2E1EC5D71FC451AC |
|
CONTENT
ssdeep
|
192:Xc9ATB9Tryg56e5NqMjcxThAhEy5f99bn3OqTytg:Xc9Lg56e5Nlji15y573OMl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3414d6347476359 |
|
VISUAL
aHash
|
00ffffffffefffff |
|
VISUAL
dHash
|
4830140a080c0a02 |
|
VISUAL
wHash
|
0083c3e3c3e3ebe3 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
02141208080c0202,0000204a4c4c4020 |
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 94 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)