Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T136A38933411935274437C6D530A55B3BD2A6DA5FFAA70A010EECD7EB2BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:13+Lz4NP/y9svbliCdayb1FtiuCa28y2O9:+mApj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d363f532d528944e |
|
VISUAL
aHash
|
00000000000000ff |
|
VISUAL
dHash
|
0c49c2c0c9dd69f8 |
|
VISUAL
wHash
|
c3ff30383c0d00ff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
69690081383080a0,1e4942c0c0e99d61 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.