コード例 #1
0
ファイル: eagle-eye.py プロジェクト: zjuwangwei/EagleEye
def main(skipFB=False, skipY=False, FBUrls=[], jsonRep=None):
    if not skipFB:
        # collect user input
        console.prompt('Enter the persons name to find on FB: ')
        name = input('')
        while not name:
            console.prompt('Enter the persons name to find on FB: ')
            name = input('')
    else:
        console.task('Skipping FB Search')
        name = "Unknown"

    console.prompt(
        'How many jitters, higher is better [max 100] (default=70): ')
    num_jitters = input('')
    if not num_jitters:
        console.task('Settings jitters to 70')
        num_jitters = 70
    num_jitters = int(num_jitters)
    if num_jitters > 100:
        console.subfailure('Dude wtf?!')
        num_jitters = 100
        console.subfailure('Using 100 jitters...')

    if not skipFB:
        # grab profile urls
        f = FBGrabber(name)
        f.grabData()
        # do face recognition on those profile images
        r = FaceRecog(f.getProfileLinks(),
                      f.getProfileImages(),
                      num_jitters=num_jitters)
        r.loadKnown(name)
        profile_links, profile_imgs = r.getValidLinksAndImg(name)
        console.section('Result')
        console.task('Found the following Profiles:')
        for i in range(len(profile_links)):
            console.subtask(profile_links[i])
    else:
        if len(FBUrls) > 0:
            f = FBProfileGrabber(FBUrls)
            img_urls = f.grabLinks()
            #FBURLS are our profile links synchron with img_urls
            # so FBURLS[0] <=> img_urls[0]
            r = FaceRecog(FBUrls, img_urls, num_jitters=num_jitters)
            r.loadKnown(name)
            profile_links, profile_imgs = r.getValidLinksAndImg(name)
            console.section('Result')
            console.task('Found the following Profiles:')
            for i in range(len(profile_links)):
                console.subtask(profile_links[i])
        else:
            profile_links = []
            profile_imgs = []

    # google reverse image search on profile pics
    g = GoogleGrabber()
    for img in profile_imgs:
        g.collectLinks(img)

    # google reverse image search on reference pic
    g.collectLinksLocal()
    rev_links, predictions = g.finish()

    #TODO: Fix yandex search
    #if not skipY:
    if False:
        yandex = YandexGrabber()
        for img in profile_imgs:
            yandex.collectLinks(img)
        yandex.collectLinksLocal()
        #add to rev_links
        for e in yandex.finish():
            rev_links.append(e)
    else:
        console.task('Skipping Yandex Search')
    rev_links = list(set(rev_links))

    instaNames = parseInstaUsername(filterInstaLinks(rev_links))
    validatedInstaNames = []
    console.section("Validating Instagram Profiles")
    for un in instaNames:
        console.task("Validating Profile: '{0}'".format(un))
        if validateInstaUser(un, num_jitters):
            validatedInstaNames.append(un)

    raider_img_list = profile_imgs
    for v in validatedInstaNames:
        l = getInstaLinks(v)

        for li in l:
            raider_img_list.append(li)

    if len(raider_img_list) <= 0:
        console.failure('No Links found...')
    else:
        console.task('RIP Imageraider')

    rev_links = list(set(rev_links))
    predictions = list(set(predictions))
    console.section('Links')
    print(rev_links)
    console.section('Predictions')
    try:
        predictions = [x.lower() for x in predictions]
    except:
        predictions = []
    print(predictions)
    presentResult(predictions)

    for pl in profile_links:
        rev_links.append(pl)
    rev_links = list(set(rev_links))

    #estimate age
    ageEstimator = PictrievGrabber()
    if len(validatedInstaNames) > 0:
        for v in validatedInstaNames:
            l = getInstaLinks(v)
            if len(l) >= cfg.instaLimit():
                l = l[:cfg.instaLimit()]
            for li in l:
                ageEstimator.collectAges(li)
        age = ageEstimator.finish()
    else:
        console.failure('No Instagram Images to upload...')
        #ageEstimator.finish()
        age = "Unknown"

    if jsonRep:
        console.section("Dumping JSON Report")
        makeJSONReport(name, rev_links, predictions, validatedInstaNames, age,
                       jsonRep)
    else:
        console.section("Creating PDF Report")
        makeReport(name, rev_links, predictions, validatedInstaNames, age)

    p = os.path.join(tempfile.gettempdir(), 'imageraider')
    if os.path.isdir(p):
        pathlist = Path(p).glob('**/*')
        for path in pathlist:
            s_p = str(path)
            os.remove(s_p)
    console.task("KTHXBYE")
コード例 #2
0
ファイル: eagle-eye.py プロジェクト: securycore/EagleEye
def main():
    # collect user input
    console.prompt('Enter the persons name to find on FB: ')
    name = input('')

    console.prompt('How many jitters, higher is better [max 100]: ')
    num_jitters = input('')
    num_jitters = int(num_jitters)
    if num_jitters > 100:
        console.subfailure('Dude wtf?!')
        num_jitters = 100
        console.subfailure('Using 100 jitters...')

    # grab profile urls
    f = FBGrabber(name)
    f.grabData()

    # do face recognition on those profile images
    r = FaceRecog(f.getProfileLinks(), f.getProfileImages(), num_jitters=num_jitters)
    r.loadKnown(name)

    profile_links, profile_imgs = r.getValidLinksAndImg(name)
    console.section('Result')
    console.task('Found the following Profiles:')
    for i in range(len(profile_links)):
        console.subtask(profile_links[i])

    # google reverse image search on profile pics
    g = GoogleGrabber()
    for img in profile_imgs:
        g.collectLinks(img)

    # google reverse image search on reference pic
    g.collectLinksLocal()
    rev_links, predictions = g.finish()

    yandex = YandexGrabber()
    for img in profile_imgs:
        yandex.collectLinks(img)
    
    #add to rev_links
    for e in yandex.finish():
        rev_links.append(e)
    rev_links = list(set(rev_links))

    instaNames = parseInstaUsername(filterInstaLinks(rev_links))
    validatedInstaNames = []
    console.section("Validating Instagram Profiles")
    for un in instaNames:
        console.task("Validating Profile: '{0}'".format(un))
        if validateInstaUser(un, num_jitters):
            validatedInstaNames.append(un)
    

    raider_img_list = profile_imgs
    for v in validatedInstaNames:
        l = getInstaLinks(v)
        for li in l:
            raider_img_list.append(li)

    if len(raider_img_list) <= 0:
        console.failure('No Links founds...')
    else:
        raider = ImageRaiderGrabber()
        raider.insertImageLinks(raider_img_list)
        raider.downloadCSV()
        raider_links = raider.processCSV()
        for raider_link in raider_links:
            rev_links.append(raider_link)


    rev_links = list(set(rev_links))
    predictions = list(set(predictions))
    console.section('Links')
    print(rev_links)
    console.section('Predictions')
    try:
        predictions = [x.lower() for x in predictions]
    except:
        predictions = []
    print(predictions)
    presentResult(predictions)
    

    console.section("Creating PDF Report")
    makeReport(name, rev_links, predictions, validatedInstaNames)


    p = os.path.join(tempfile.gettempdir(), 'imageraider')
    if os.path.isdir(p):
        pathlist = Path(p).glob('**/*')
        for path in pathlist:
            s_p = str(path)
            os.remove(s_p)
    console.task("KTHXBYE")