Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14D63F87068515E7B122B8BE8F662BF4E72E693ACCE630141D3FC47F91BD4D64DA08650 |
|
CONTENT
ssdeep
|
1536:Dwx50wfsP/Dvn/yj9Zndnbf7rS4kaieWSMWienBZ1ieTtKvIBww:D657o7q0aieeWieBbieukx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
da29e5a35e3a70a1 |
|
VISUAL
aHash
|
fbb98d9dbdbdfff4 |
|
VISUAL
dHash
|
33723971696943c4 |
|
VISUAL
wHash
|
1808859dada5f7f4 |
|
VISUAL
colorHash
|
07000007000 |
|
VISUAL
cropResistant
|
33723971696943c4,1e470f3f7f5f3f1f,bec70f3f7f7f7f1f,7b3351c17163468e |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.