Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174235B726722B8B883DB91EEFB3C2D56B2D1988DF8C74450B5C95A8D13C3C816197BB4 |
|
CONTENT
ssdeep
|
768:aZSFC+EsZx8/G8ARF4CDaw1MZBSw/MZBDqN2/y9dGDTDiJE56ITmH+LCBlvNPqDk:aN+EsZ/8KOCDaw1MZBSw/MZBON2/y9dZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
efbcb1c5b091c4d0 |
|
VISUAL
aHash
|
8181818181818181 |
|
VISUAL
dHash
|
4d71616965455945 |
|
VISUAL
wHash
|
ff91818981bdbd81 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
4d71616965455945,00616068c4c4ccc4 |
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.