Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E353085172C866BF046F86D6FF266F7236DC50E9F299825842FD83A887E7C84FD06904 |
|
CONTENT
ssdeep
|
768:La8BoBNBNyrCJl/ejlcFO79GCu5JwQ4i1OLJGApT2R+39j7fRYAefOvohPmUCJlw:OTRejzpzpT93R7fSxOvwc2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b04e3b394e334d3c |
|
VISUAL
aHash
|
00ffffffffcfc7ff |
|
VISUAL
dHash
|
738c9e8cb49a9e9e |
|
VISUAL
wHash
|
0046c3cfdfc3c3c3 |
|
VISUAL
colorHash
|
0e601000080 |
|
VISUAL
cropResistant
|
8c9e9c609e9a9e9e,843333338c113200,19d95d0b55d49c9c |
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 1119 techniques to evade detection by security scanners and make reverse engineering more difficult.