Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4A37B33411935274477C6D130A55B3BE2A6D98FFEA70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:HBD+Lz4NP/y9svbliCdyiFtiuCa28y2O9:+mAH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc32c7cd92783992 |
|
VISUAL
aHash
|
3f338f8fffd1f0fe |
|
VISUAL
dHash
|
e7e61c3c0c1232d8 |
|
VISUAL
wHash
|
1313078fcfc0d0fe |
|
VISUAL
colorHash
|
07006000018 |
|
VISUAL
cropResistant
|
e7e61c3c0c1232d8 |
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.