Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A9E2D832D056683F07EB62D1E775A35A23D94389DD43072A42FE8B4E1FEBC90DE124A5 |
|
CONTENT
ssdeep
|
384:uvIIoSIIIII9dGlB8IRAouXuzfx5Tj02mKppW:+II1IIIIIPKAVmZ5X9hG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83e37d1c1939c696 |
|
VISUAL
aHash
|
00e3f7eb7f3c1818 |
|
VISUAL
dHash
|
87cfcfdbf5e4f0f0 |
|
VISUAL
wHash
|
00e1f7ef7f381818 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
a7e6e6c48c989819,0011c0c4d4c40100,87cfcfdbf5e4f0f0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)