Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198C1983531409D3B06238F5476C0F94B5A0FA31ED622D8B5E2D600EF7BE5D60C9B69AA |
|
CONTENT
ssdeep
|
96:M9+q1KHBbHN46GGG2Jyb831ZmGaa1Y4LwC+fsIcSK:ZCNmN1YNfD6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea8db30c6ae58ca5 |
|
VISUAL
aHash
|
ffffffa01010ede4 |
|
VISUAL
dHash
|
a459474561714949 |
|
VISUAL
wHash
|
fffffba00010e0a4 |
|
VISUAL
colorHash
|
07200008007 |
|
VISUAL
cropResistant
|
a459474561714949,4a13b3b3333121e4,64aa9b9a67b2aa66,713367ce1c397371,e3770f332b2521a9,f63e5e4e514d4543 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)