Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BFA3ED234259752B4437C3C0347A6B3BE1A6998FFAE70A414EDCC7F62AF9CA0741A51D |
|
CONTENT
ssdeep
|
1536:HuzJ9tpR4nXBKpSpFl26vQ0UDUwOxvviAm:4UMgZm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93176d03d3136d2d |
|
VISUAL
aHash
|
00170f2e6e0f01ff |
|
VISUAL
dHash
|
dcb77cdcdcb8b300 |
|
VISUAL
wHash
|
00070f3f3f0f01ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fd37fcdcdcb9f700,dcbf3cdcdcfcb377,49555592966226d2,dc0e13014b464e9a,68000832320c21d4 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.