Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185D2F9B04226257772A349E6E4316BAA72D6F34CCE634844A7FC53AF1BCECC0EC54965 |
|
CONTENT
ssdeep
|
768:FR/wiSjg1tyXCW2MRFHK09oNyLlY40/syzuvh:+Lihi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b064e66c9867ce39 |
|
VISUAL
aHash
|
c3c3c3c3c7c7c7c7 |
|
VISUAL
dHash
|
969696969e969e9e |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
06002000180 |
|
VISUAL
cropResistant
|
969696969e969e9e,261a6b6118282012,271f3773d79ff6ce,ababf1e9eaecf8f0,1f37d57175b4b5b7 |
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 7673 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)