Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9234A726722B4A843DB91EEE73D3D46B2D2589DF8C74414F5C99A8E13C3C806297BB4 |
|
CONTENT
ssdeep
|
768:auih9+EsZx8/G8E4yDawuMSBxwMMSB0qN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKs:auih9+EsZ/8/yDawuMSBxwMMSBtN2/yK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ef3b6cd0916cd091 |
|
VISUAL
aHash
|
81818181fffff3f3 |
|
VISUAL
dHash
|
7d7d71775d072327 |
|
VISUAL
wHash
|
81018181fff7f1f1 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
7d7d71775d072327,7370d0b03133351c,fffddcfdfdf3f7ef,e0f0b0884e0eb69c |
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.