Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17F235B726332B8B843DB92DEF7382D46B2D69499E8C74554F1C95ACD23C3C816187BB4 |
|
CONTENT
ssdeep
|
768:a4+EsZx8/G8PiRs0DVS4MwBQoS7MwBQCUuix+y9dQpUDF1E56ITmHTCd3m6DPqDW:a4+EsZ/8PkPDVS4MwBZS7MwB/Uxx+y94 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf5ac0c2c672721e |
|
VISUAL
aHash
|
fc9f878fbf8f8fff |
|
VISUAL
dHash
|
49313d7961193936 |
|
VISUAL
wHash
|
ac9f87879f818193 |
|
VISUAL
colorHash
|
07008000e00 |
|
VISUAL
cropResistant
|
49313d7961193936 |
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.
Pages with identical visual appearance (based on perceptual hash)