Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FEA36933411939274437C6D130A55B3BE2A6DA5FF9E70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:J8y5NCYo8Lz4NP3+mZY9svblTOCVrsfhqYMBoFtiuCa28y2OZL:po8Lz4NP/y9svbliCdgBFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ac5cd92783992 |
|
VISUAL
aHash
|
3f338f8fffd1f0fe |
|
VISUAL
dHash
|
e7e6383c181232d8 |
|
VISUAL
wHash
|
1b13078fcfc0c0fe |
|
VISUAL
colorHash
|
07006000018 |
|
VISUAL
cropResistant
|
e7e6383c181232d8 |
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.