Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EDA3D971E090202312534BC4E3E17F29A6E9534CCE875C99AEAA455C9BE3D71BEC73C9 |
|
CONTENT
ssdeep
|
1536:4LIoZfY/LdJESe7zSKYv6JuklqPkjQVDqhK22G1sDipg8e/ebw:O2/LdJESe7zSKYv6JuklqPkjQdl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9c9b63636636332 |
|
VISUAL
aHash
|
3c3838381c000000 |
|
VISUAL
dHash
|
3133b3b3b0dc988c |
|
VISUAL
wHash
|
bd3838383e5e0e4e |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
a6a2febebaba52f2,3133b3b3b0dc988c |
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 492 techniques to evade detection by security scanners and make reverse engineering more difficult.