Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T192B2A873711D58362397C9C9E291720D93D6DA8BCB4654D4B6ECC36D87F2CB0FA42628 |
|
CONTENT
ssdeep
|
384:z37Kv9zrJb8o39/3lDoOeg7eMGeKxpwe4deckeEeeAVO48oaH:U39/3cpoO4u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212e8ecad95a9e9 |
|
VISUAL
aHash
|
7e000404ffffffff |
|
VISUAL
dHash
|
bcccdcfcb4b34032 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06400038000 |
|
VISUAL
cropResistant
|
bcccdcfcb4b34032,f476bc9e8cce6e7b,7e54cafef8034b4b,fc8c8cb4b48eeec4,db77f3b3f7d7bbeb,8f581b1b8b8b9b99 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.