Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116A36733411935274037C6D530A95B3BE2E7999FFAA70A010EECD7EA1BFACA0745711A |
|
CONTENT
ssdeep
|
1536:LCqgLz4NP/y9svbliCdBbW+K1mGkrFtiuCa28y2O9:mqemAWo4Gkg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d362d53a9d49bc0a |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
9cccc8cacc2cd3d2 |
|
VISUAL
wHash
|
00eefc6c06007eff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080810030108080,98ccccc8c86c2cd2 |
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)