Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1931253E1D450ED370B1281C6F7B67B5FB6A1C345CB07095093F843ABABCADA1CA2259D |
|
CONTENT
ssdeep
|
192:QBptzYtkh58iIlAdtakhwFFddXZyizCDdYaP8F:QBfBX1oA/thwdrhzCDqaP8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e99696ec92694996 |
|
VISUAL
aHash
|
3ffff9f9fff9f93f |
|
VISUAL
dHash
|
42081313135313d0 |
|
VISUAL
wHash
|
3fe7c1c10101390f |
|
VISUAL
colorHash
|
07200008080 |
|
VISUAL
cropResistant
|
42081313135313d0,232b234545252505,1939393939b1d9d9 |
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.