Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA235B726722B8A843DB91EEF7383D56B2D2489DF8C74414F5C95A8D23C3C816297BB4 |
|
CONTENT
ssdeep
|
768:aP+EsZx8/G8k4LDawRMjBhwyMjBQwZCN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAZ:aP+EsZ/8fLDawRMjBhwyMjBQwcN2/y9M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af2e90b13b949cc3 |
|
VISUAL
aHash
|
8181818181ffffff |
|
VISUAL
dHash
|
5d6565655d5d0c2b |
|
VISUAL
wHash
|
81818181819fffff |
|
VISUAL
colorHash
|
03000400038 |
|
VISUAL
cropResistant
|
5d6565655d5d0c2b,5c5eab4d8aaa2abd,9c9c2b4b6a6aeb92,d4c080b29a80c0c4,beefe7e7c7e79f9f |
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.