Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19FA35933411935274437C6D530A55B3BE2A6DA5FFAA70A010EECD7EB1BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:oedLz4NP/y9svbliCdGzb3/UOFtiuCa28y2O9:FmApH/O |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9363f53adc2c9449 |
|
VISUAL
aHash
|
00000000000400ff |
|
VISUAL
dHash
|
1c49c2c0e9dd69f8 |
|
VISUAL
wHash
|
c3ef38383c0d00ff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
696900a1383080a0,1e494ac0c0e99d61 |
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.