Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AFA36A33411935274437C6D530A55B3BD2A6D99FFAA70A010EECD7EB2BFACA0744B11A |
|
CONTENT
ssdeep
|
1536:AYbLz4NP/y9svbliCd6m/zDQHFtiuCa28y2O9:xmA2bDH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d363f53ad428904f |
|
VISUAL
aHash
|
00002000000400ff |
|
VISUAL
dHash
|
1c4942c0c98d63f0 |
|
VISUAL
wHash
|
c3ef38383c0d00ff |
|
VISUAL
colorHash
|
39038000400 |
|
VISUAL
cropResistant
|
60680001387080a0,1e494ae0c0e91d63 |
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.
Pages with identical visual appearance (based on perceptual hash)