Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105A37933411935274437C6D530A55B3BD2A79A5FFAA70A010EECD7EA2BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:Oh3caJU1uLz4NP/y9svbliCd6eGMCofzFtiuCa28y2O9:+mAAGu4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfc12d06dc512 |
|
VISUAL
aHash
|
00002000040000ff |
|
VISUAL
dHash
|
1c49cbc3cccce498 |
|
VISUAL
wHash
|
c0e761302e007fff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
040180815c588090,140d4bc3c9ccc4e4 |
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.