Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114933DB91241367F100383F1D318F62AD7C1EA4DE7638D4AD3EC8327A5D9CE89D28995 |
|
CONTENT
ssdeep
|
768:/8/6KRCGiiON6SVCWdQCd1ee+uOmeZfp/6KRCGiiON6SVCWdQCd1ee+uOmeZfPWT:QV3Wg0Ig00/H5UbKCOvTW0UOp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ce7c3f0189698 |
|
VISUAL
aHash
|
eb939f9fdfffffff |
|
VISUAL
dHash
|
cb2b3531b575300d |
|
VISUAL
wHash
|
00001c1cdcfcffe7 |
|
VISUAL
colorHash
|
07180000200 |
|
VISUAL
cropResistant
|
cb2b3531b575300d,5a9989cbcd4d45e5 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)