Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A7B382B379061935602F76CEE00E771CA395D289DFA262C463F48358AFF2E5279B19C4 |
|
CONTENT
ssdeep
|
1536:c1/mFSNLrt0AXIs8B3ULuPmV5DLOPiJkVmst0ABIs8B3ULuPmV5DLOPiJkJMggjE:c1/mFSVj0RUgjE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc0d1af0e7b7128e |
|
VISUAL
aHash
|
00000023ffffffff |
|
VISUAL
dHash
|
73f36246369bab29 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
0e000000030 |
|
VISUAL
cropResistant
|
00602c2d686051f1,888480cc4d84828c,26279b93a32d2910,f3b3f3737262e64b |
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 684 techniques to evade detection by security scanners and make reverse engineering more difficult.