Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AFE3D9B0F160987D426F91E2F3727B59A3DBE306DACC07EAD1E987A805D6D64EC13046 |
|
CONTENT
ssdeep
|
768:XEIQiGjG1WEvxDbANyMptXztuz3EkyZUGtuxaVr06HuGazp3u5euhyueAxPx9xtR:XBzGS1TvkzXztLt106VazpeXMGZvTz/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9164f61169c39cd |
|
VISUAL
aHash
|
0000c3cfc3c3f381 |
|
VISUAL
dHash
|
f0233f2e0b939323 |
|
VISUAL
wHash
|
0018c7efebc3f381 |
|
VISUAL
colorHash
|
16000038000 |
|
VISUAL
cropResistant
|
fc80c0c0008000fe,233f2f0b9393132b,765884a4ccccd8c8,32b233e600726171,a4a4d4d4d4333535,3828642424313429,b4b3d4d4d4333535,5c561216121a5e26,75ca154a35c01b2b |
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 69 techniques to evade detection by security scanners and make reverse engineering more difficult.