Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13B4174378554C93321DBD1C89FE1928FA3918309DB130F09A2F5839C1BDEAE4DD96198 |
|
CONTENT
ssdeep
|
48:Tu+neRwjr4xuRErxZNVgEUpav7ZjElEnx:THvk0RElb+EUpG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc669966b326c399 |
|
VISUAL
aHash
|
0018181018181818 |
|
VISUAL
dHash
|
54b2b2323232b2b2 |
|
VISUAL
wHash
|
ff18181838383838 |
|
VISUAL
colorHash
|
38006000080 |
|
VISUAL
cropResistant
|
7474616860f8f8b8,8f84e420a8728a2a,ce5edad858e1cccc,54b2b2323232b2b2 |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.