Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17F932CA0D1A1FC4311735486709ACA87B2FB000BFB198DA4B54CCFE9A3DB8672577976 |
|
CONTENT
ssdeep
|
1536:ieFfQ+Py5t48EyuWmlvjW2gGZrtkyw7LUwzQ2N0msQw:ieHRWQQVw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99b96666bc616564 |
|
VISUAL
aHash
|
42dd4d0cdf000000 |
|
VISUAL
dHash
|
8e199b99311dc0c0 |
|
VISUAL
wHash
|
43dfcddddfc03000 |
|
VISUAL
colorHash
|
30000010007 |
|
VISUAL
cropResistant
|
73e08ea8cc495969,71d492c07497c4f0,8f070705838698d8,8e199b99311dc0c0 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)