Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EE733BF9A240FD23757300D3605E8086B676582FA64D0990B7C8EBC975FEC27216B7E6 |
|
CONTENT
ssdeep
|
768:0T0TQH7YFcU7g6w0DnvdJBBGGMYgyWuuhDKGeMwYYP2yOGU4ggP0rHvtRppSsnbo:77g6wzzQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93ed16366d1b3432 |
|
VISUAL
aHash
|
00fffbe96c0c0c0c |
|
VISUAL
dHash
|
96121adbd8189958 |
|
VISUAL
wHash
|
00fffbfb6c0c0c0c |
|
VISUAL
colorHash
|
08007000040 |
|
VISUAL
cropResistant
|
c0908e8c70c8d8c0,c3a0a1a9234cc484,96121adbd8189958 |
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 34 techniques to evade detection by security scanners and make reverse engineering more difficult.