Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18233FAE611100CBD1963C3E0D734AA19B255EE8BEA53CE81EEF843696FD6C75CC52C98 |
|
CONTENT
ssdeep
|
768:E78WR2LRqOowdcbiMIoimGi706fhGNtQrMCKOQ3W:e8WR2LRluWwBQ3W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be7aa2d8c1648bc9 |
|
VISUAL
aHash
|
81810081ffbfffff |
|
VISUAL
dHash
|
112d691733333c8b |
|
VISUAL
wHash
|
81810081999fffff |
|
VISUAL
colorHash
|
0f008000c00 |
|
VISUAL
cropResistant
|
b69e8e6062ce8c8e,45a2808e8eb0a280,112d691733333c8b |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.