Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116A1941383A5837A0C0C839C66F538143057DD9AF4B0B5F8BAEF1456E64DCE0688DAEB |
|
CONTENT
ssdeep
|
96:nVc2qq+MM+EAvVamwNo4tsUXyznCAMpuWwoPHsZED06A2i69:e2U+RvVa2JMp9HsZeAFa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc1bc3663c39344e |
|
VISUAL
aHash
|
7fffcfc3c3d3ffff |
|
VISUAL
dHash
|
90009c1e3606000c |
|
VISUAL
wHash
|
00ffc7c381e3ff00 |
|
VISUAL
colorHash
|
070000000d8 |
|
VISUAL
cropResistant
|
90009c1e3606000c,6bcbd99bf3b78881 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)