Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A70463A0B162973A71AF61DF92031F4C51C2F3CFDB814BE590F4420896F9C96BEA2759 |
|
CONTENT
ssdeep
|
1536:7VD6wluZ7mMbBSEQLZQeuBAP/58pK6JFAnXzh4Sm+Z3x:0Z0Jvm0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0c22fe8e6a6bb0b |
|
VISUAL
aHash
|
f1f87cfcf0c00000 |
|
VISUAL
dHash
|
c1e0c0a080168745 |
|
VISUAL
wHash
|
f9f8fcfefcc00000 |
|
VISUAL
colorHash
|
32206000000 |
|
VISUAL
cropResistant
|
298d6068a4a6e594,c1e0c0a080168745 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.