Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16A235A726722B8B843DB91EEE73C3D56B2D2489DF8CB4514B5C95A8D13C3C812297BB4 |
|
CONTENT
ssdeep
|
768:aq+EsZx8/G8q4cDawEMYBSowbMYBSRqN2/y9dGDTDiJE56ITmH+LCBlvNPqDvKAf:aq+EsZ/8tcDawEMYBfwbMYBLN2/y9dGn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee66919dc1d29a91 |
|
VISUAL
aHash
|
ff8181a18181ffff |
|
VISUAL
dHash
|
6d4f6d4d67716900 |
|
VISUAL
wHash
|
ff8181818180bfff |
|
VISUAL
colorHash
|
07038008000 |
|
VISUAL
cropResistant
|
6d4f6d4d67716900,ceac6c6cbabeb060,40c2da9bafd2d240,ecf1f151754c8826,fffff7f5d6fcdfdf |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)