Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16A3263347501286352278BD1F1D18F0E670BA725CF1B0E28FBE4A635A6CECAD9971B74 |
|
CONTENT
ssdeep
|
192:upPvF+DtFQL28k4n47tZbTb1gSWnTDKoDzsEXvErEFsBLfRCyLfRuaILfRT4LfRl:CPvpKDm/hztFsBLfRCyLfRbILfRT4LfX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999666666669999 |
|
VISUAL
aHash
|
0018181800000000 |
|
VISUAL
dHash
|
30b2b2b200300000 |
|
VISUAL
wHash
|
1c1c1c1c18000000 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
ccccf2ccda807151,30b2b2b200300000 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)