Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C436B72A73179BD43CF42EDFB386A46B2C64498E8C64540F6D8969D23C3CC06297BB4 |
|
CONTENT
ssdeep
|
1536:ae+EsZ/8GMuupxDVR5MjBIROMjBZDrpRXPZlQaQD9OehM+BrUgq4z:ar0uuJRJRVDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb916eec91c1d292 |
|
VISUAL
aHash
|
81818d8d8d818181 |
|
VISUAL
dHash
|
491d595959594905 |
|
VISUAL
wHash
|
ff81cf8f8f818181 |
|
VISUAL
colorHash
|
324010000c0 |
|
VISUAL
cropResistant
|
491d595959594905,fca4a4d0f6d2c6c3,0000000000020400,60d4848480828282,41fc989a9cdcca02 |
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.