Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3F1DAD3E1083806161BC3C0AD96F709B236C946C75A1969D5B720ABF6DFAF0817F7A1 |
|
CONTENT
ssdeep
|
192:Yj7Cj7Wj7tGXSESuJFHcGJEu9tsqu9L7NRcMVdPVIZ:Yj7Cj7Wj7tGXTRn5rDsqoL7NiMVdt6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
834969638ef7d862 |
|
VISUAL
aHash
|
0000002f3fffffff |
|
VISUAL
dHash
|
e2f2f4ececcccece |
|
VISUAL
wHash
|
000000063fffffff |
|
VISUAL
colorHash
|
03002000180 |
|
VISUAL
cropResistant
|
fcecececcececeea,c072c2d4fcececec |
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)