Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B235B726722B8B843DB91EEE7383D56B2D2489DF8C74510B5C95ACD23C3C806297BB4 |
|
CONTENT
ssdeep
|
768:aQ+EsZx8/G8i4/DawMMbBxw2MbB4CN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAz5I:aQ+EsZ/81/DawMMbBxw2MbBNN2/y9dGC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba2e6f2bb1c4c491 |
|
VISUAL
aHash
|
0000ffffffffffff |
|
VISUAL
dHash
|
4971351119080000 |
|
VISUAL
wHash
|
000081818dffffff |
|
VISUAL
colorHash
|
0e007000000 |
|
VISUAL
cropResistant
|
4971351119080000,0000200c30300c20 |
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.