Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D181F772C5259872C247C3E9BBB9B60922CBC168CB450906E3E95BEC17F5D70DC62290 |
|
CONTENT
ssdeep
|
96:TpuC131lXtWJSr9NCYTUayaq0sbM/2KIx:FuC1PgJqXCYTFFsbM/2K8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99cc663399c9cccc |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
0c32b2b2b2b2320c |
|
VISUAL
wHash
|
00181818d8d8d8e8 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
8e8eaebab2aa3386,0c32b2b2b2b2320c |
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.
| ID | Portuguese | English | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)