Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159A36933411935274037C6D530A95B3BD2A79A5FFAA70A010EECD7EB1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:QSmp3imU1ULz4NP/y9svbliCdWSw9ozoN8FtiuCa28y2O9:3OmARSw9vv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd32d1699402 |
|
VISUAL
aHash
|
00002000040000ff |
|
VISUAL
dHash
|
1c49c3c3ccccd3da |
|
VISUAL
wHash
|
c0fd71300e007eff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
d200c08018588090,1c49c3c3c9ccc4d2 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.