Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E22200E1D064ED36476281C5BBB57B2B77E1C388CF02094453F8536B6BCADA1CA225A9 |
|
CONTENT
ssdeep
|
192:Qf//zYhhC7tu/l8iLPuVMoeE4u0JElU8F:QfDGCkd1LPuVSu0Wa8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
db58a5a5a45a4af2 |
|
VISUAL
aHash
|
ffcc88d8ff3fff7f |
|
VISUAL
dHash
|
58191939487128c0 |
|
VISUAL
wHash
|
cf080058af18ff3f |
|
VISUAL
colorHash
|
07600080000 |
|
VISUAL
cropResistant
|
58191939487128c0,195b296d61355545 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.