Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160334B726332B8B843DFA1DDF7382E46B2D2998DE9C74690B5C95A8D13C3C8461877B4 |
|
CONTENT
ssdeep
|
1536:aG+EsZ/8AlR7O/DawDMCBlwGMCBZN2/y9dGXDiJZBlvy40hxwfwH:aTCOwvwuN2aDSw0Ea |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3b95d466c0c06b |
|
VISUAL
aHash
|
fd81818181ffffff |
|
VISUAL
dHash
|
7d71711555290001 |
|
VISUAL
wHash
|
bd01010000ffffff |
|
VISUAL
colorHash
|
0ee00008000 |
|
VISUAL
cropResistant
|
7d71711555290001,636ac6d6e4bcd8f9,83f03ceb79b4b2aa,d2a28aa73392a2c2,bc3ebaf17134d696 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)