Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T148937833411935274437C6D530A55B3BD2A69A5FFAE70A010EECD7EA2BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:T1ALz4NP/y9svbliCdHIIIIIIYIIIIXnOZMoIIII+FtiuCa28y2O9:Z+mAE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c247fd3ab92c960c |
|
VISUAL
aHash
|
00203000000400ff |
|
VISUAL
dHash
|
18cce4c0cccd33b0 |
|
VISUAL
wHash
|
c0fe7c7c240e00ff |
|
VISUAL
colorHash
|
39000000c00 |
|
VISUAL
cropResistant
|
00a0a00030308080,184ce4e4c8cced13 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.