Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BAE2B421F3502B31155307ADFA5062B6E3525794E35371EC6AF7CEE8A90AE4AE83305F |
|
CONTENT
ssdeep
|
384:hQE9X7ZfaJGxz8BpiykIBQhBZ0qnGMurQOBNhL8oT/xY45JT/x:hQCFyU8BpiHIaLZ0qnwQOfhe4R |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e46c9bc9649a6c69 |
|
VISUAL
aHash
|
ffffc3c3c3c3ffff |
|
VISUAL
dHash
|
330e968696969016 |
|
VISUAL
wHash
|
99c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07c00008000 |
|
VISUAL
cropResistant
|
330e968696969016,fdf5b8f9f9f8fdf9,218e2485447084c6 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.