Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DE62957812750FBEA187C765B3B5BA2720B98217F3265158D7BDC5282A82CB7CC32674 |
|
CONTENT
ssdeep
|
384:ycJnmpRcenmoCRY+3bnm57Yfwhmv9JMS3ksdO:ycFmpvmoCY6m1YMmS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eda4b0ab92d293aa |
|
VISUAL
aHash
|
f3f3f0f0f0f1f1fa |
|
VISUAL
dHash
|
2627462663630352 |
|
VISUAL
wHash
|
f3f1f0b0b0b0f0f0 |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
2627462663630352,b2b4e4e0d0986c96,134b71790c313919,8339396961616363 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|