Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T104A37933411935274437C6D530A55B3BE2A7DA5FFAA70A010EECD7EA1BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:59PLz4NP/y9svbliCdnz7FtiuCa28y2O9:fmAV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ac5cd927831b2 |
|
VISUAL
aHash
|
3f1b8f8fdff1f0fe |
|
VISUAL
dHash
|
e3b61c3c1c1232b8 |
|
VISUAL
wHash
|
3f130f8f87c080fe |
|
VISUAL
colorHash
|
07006000018 |
|
VISUAL
cropResistant
|
e3b61c3c1c1232b8 |
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.