Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171234A726332B86843DB91EDF7382A45B2D2989EF8C74554B1C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:au+EsZx8/G8P14iDawcMJBEwzMJB6Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDvt6:au+EsZ/8P+iDawcMJBEwzMJB6UXx+y93 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ea8cc591cdb1f0f0 |
|
VISUAL
aHash
|
b999818181818181 |
|
VISUAL
dHash
|
71714d3171494955 |
|
VISUAL
wHash
|
ffbdc18199c1c1c1 |
|
VISUAL
colorHash
|
31002000080 |
|
VISUAL
cropResistant
|
71714d3171494955,a0a2c272727282a2,71e08e30a0888884 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.