Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ADF28531A251AE3B44A7D2E5E3B5632B32D692CAC947124483FC43BD0FEBD84FD22654 |
|
CONTENT
ssdeep
|
768:7XarxTdSZYoIKpWm5rhTao/sNbBesP2wok+J67qGu0h:7EgYoIK3FsP2wGJP0h |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1f53e3c24b49695 |
|
VISUAL
aHash
|
46687e6e6e0e0c38 |
|
VISUAL
dHash
|
84c8c8dcd8b8d8d1 |
|
VISUAL
wHash
|
42607e7e7e0e0e39 |
|
VISUAL
colorHash
|
38000000c40 |
|
VISUAL
cropResistant
|
84c8c8dcd8b8d8d1 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.