Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0234A726732B8B843DB91EEF73C2D46B2D2588DE8CB4550B5C95A8D13C3C812297BB4 |
|
CONTENT
ssdeep
|
768:aHEC+EsZx8/G8o54QvDawDMSBxwSMSBcwZqN2/y9dGDTDiJE56ITmH+LCBlvNPqS:aHEC+EsZ/8o6QvDawDMSBxwSMSBcw0NH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926cedca92e4ed81 |
|
VISUAL
aHash
|
ff0040466c0000ff |
|
VISUAL
dHash
|
2338868c8889ca8a |
|
VISUAL
wHash
|
ff0042466c00feff |
|
VISUAL
colorHash
|
31000e00000 |
|
VISUAL
cropResistant
|
08000c0c0d000303,1fdfceaee6ced060,0000000000000000,23b8868c8888caca |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.