Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C163B4F191A055B2414BB3C556721FAE72F360ACDE13CA0582F84FAD96F5C92EC03D8A |
|
CONTENT
ssdeep
|
1536:Opu2Obc7QV+J++LTiS29rj1Mh629rjdMhV0Q7X:OL4+J++LTiLuhzWhqI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9be3c62239a62e9 |
|
VISUAL
aHash
|
05183c3c78381800 |
|
VISUAL
dHash
|
1d307071d1f0b3b3 |
|
VISUAL
wHash
|
853e3c3c7cfc7c00 |
|
VISUAL
colorHash
|
38000007000 |
|
VISUAL
cropResistant
|
1d307071d1f0b3b3 |
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 708 techniques to evade detection by security scanners and make reverse engineering more difficult.