Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13DA36B33411835274437C6D530A55B3BE2A6D95FFEA70A010EECD7EA5BFACA0B44B11A |
|
CONTENT
ssdeep
|
1536:zhboLz4NP/y9svbliCdY+TawCwizx3x3U2WGFtiuCa28y2O9:9ymAsMc20 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b81245ed92697db2 |
|
VISUAL
aHash
|
1c080ccffff3f3fe |
|
VISUAL
dHash
|
e0f81c1d382723b8 |
|
VISUAL
wHash
|
1008008fcff3f3fe |
|
VISUAL
colorHash
|
07003000018 |
|
VISUAL
cropResistant
|
e0f81c1d382723b8 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.