Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190333F306410DE3B01DB95D86236572AA2F98384D623169DFAF5C3FD1BEBD29CA33164 |
|
CONTENT
ssdeep
|
1536:8/sIxoH2KaPcAg1vqF37fgqsK3BsbvhO059I5Nanaava3os7dab2f3Y/2Lb7x:UcH+l5Zt/7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed2d9292c56d6c92 |
|
VISUAL
aHash
|
ff8f83b1fff7f7ff |
|
VISUAL
dHash
|
c518327278272726 |
|
VISUAL
wHash
|
f9000000fff7f3f2 |
|
VISUAL
colorHash
|
07001008180 |
|
VISUAL
cropResistant
|
c518327278272726,6f6ee6e6ec8d1850 |
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 23 techniques to evade detection by security scanners and make reverse engineering more difficult.