<?php $allow_ext = array('png','jpg','gif'); $file = $_FILES['file']['name']; $file_info = pathinfo($file); var_dump($file_info); $file_ext = $file_info['extension']; if(!in_array($file_ext, $allow_ext)){ exit("error extension"); } $news = time(); $filepath = './uploads/'; $newname = md5(md5($news)).'.'.$file_ext; $tmp_name=$_FILES['file']['tmp_name']; $filename=$filepath.$newname; if(move_uploaded_file($tmp_name,$filename)) { $content = file_get_contents($filename); $content = preg_replace('/<\?php|\?>/i', '_', $content); $content = preg_replace('/php/i', '', $content); $content = preg_replace('/eval/i', '_', $content); $content = preg_replace('/assert/i', '_', $content); $content = preg_replace('/ev/i', '_', $content); $content = preg_replace('/system/i', '_', $content); $content = preg_replace('/as/i', '_', $content); $content = preg_replace('/call/i', '_', $content); $content = preg_replace('/replace/i', '_', $content); $content = preg_replace('/func/i', '_', $content); file_put_contents($filename, $content); $data['success'] = 1; $data['message'] = 'æˆåŠŸ'; $data['url'] = $filename; }else{ $data['message']='ä¸Šä¼ å¤±è´¥!'; } echo json_encode($data); ?>

时间: 2023-08-31 10:56:40 浏览: 109

这段代码是一个 PHP 文件上传的示例。它首先定义了允许上传的文件扩展名数组 `$allow_ext`，然后通过 `$_FILES` 数组获取上传文件的原始名称，并使用 `pathinfo()` 函数获取文件信息。接下来，它将获取到的文件扩展名与允许的扩展名进行比较，如果不在允许的范围内，则输出 "error extension" 并终止程序。如果文件扩展名允许上传，则会生成一个新的文件名 `$newname`，这里使用了时间戳和 MD5 哈希来生成唯一的新文件名，并将其保存在指定的文件夹路径 `$filepath` 中。然后，它使用 `move_uploaded_file()` 函数将临时文件移动到指定的路径中。接下来，它会读取上传文件的内容，并使用一系列正则表达式替换操作来过滤一些敏感关键词（如 PHP 标签、eval、assert 等），并将过滤后的内容重新写入文件。最后，它会将上传结果以 JSON 格式输出，包含成功标识 `success`、消息 `message` 和上传文件的 URL `url`。需要注意的是，这段代码仅用于演示上传过程，并没有涉及其他安全性措施，例如对上传文件的类型、大小、目录权限等进行验证和限制。在实际应用中，需要根据具体需求和安全考虑添加相应的验证和过滤机制。

<!DOCTYPE html><html> <head> <meta charset="utf-8"> <title></title> </head> <body> <?php if(isset($_FILES['upload'])){ if($_FILES['upload']['error'] !==UPLOAD_ERR_OK){ exit('上传失败'); } $suffix = substr(strrchr($_FILES['upload']['name'],'.'),1); $allow_type = ['doc','zip','txt','jpg','png','gif']; if(!in_array($suffix,$allow_type)){ exit('不允许的文件类型'); } $destination = './upload/'.time().'.'.$suffix; if(is_uploaded_file($_FILES['upload']['tmp_name'])){ if(move_uploaded_file($_FILES['upload']['tmp_name'],$destination)){ echo '上传成功'; } } } ?> <form method="post" enctype="multipart/form-data"> <input type="file" name="upload"> <input type="submit" value="上传文件"> </form> </body></html>代码报错，如何修改

这段代码可能会有以下几个问题： 1. PHP版本问题：如果PHP版本过低，可能会导致某些函数无法使用。建议使用 PHP 7.0 及以上版本运行该代码。 2. 文件上传大小限制问题：如果上传的文件超过了服务器设置的大小限制，也会导致上传失败。可以通过修改 php.ini 文件来调整大小限制。 3. 文件上传路径问题：如果上传文件的路径不存在或没有写入权限，也会导致上传失败。可以先手动创建一个 `upload` 文件夹，并赋予写入权限。以下是可能需要修改的代码部分： ```php if($_FILES['upload']['error'] !== UPLOAD_ERR_OK){ exit('上传失败'); } ``` 应该修改为： ```php if($_FILES['upload']['error'] !== UPLOAD_ERR_OK){ echo '上传失败'; exit; } ``` ```php $allow_type = ['doc','zip','txt','jpg','png','gif']; if(!in_array($suffix,$allow_type)){ exit('不允许的文件类型'); } ``` 应该修改为： ```php $allow_type = ['doc','zip','txt','jpg','png','gif']; if(!in_array($suffix,$allow_type)){ echo '不允许的文件类型'; exit; } ``` ```php $destination = './upload/'.time().'.'.$suffix; if(is_uploaded_file($_FILES['upload']['tmp_name'])){ if(move_uploaded_file($_FILES['upload']['tmp_name'],$destination)){ echo '上传成功'; } } ``` 应该修改为： ```php $destination = './upload/'.time().'.'.$suffix; if(move_uploaded_file($_FILES['upload']['tmp_name'],$destination)){ echo '上传成功'; } else { echo '上传失败'; } ```

Cannot load file containing pickled data when allow_pickle=False

As an AI language model, I cannot reproduce the error without the complete error message and the code. However, I can provide some general information on the error message "Cannot load file containing pickled data when allow_pickle=False". This error message occurs when you try to load a file that contains pickled data using the `numpy.load()` function with `allow_pickle=False` argument. By default, `allow_pickle` is set to `True` which allows loading pickled objects. However, it is recommended to set `allow_pickle=False` to avoid security risks. Here are some possible solutions to this error: 1. Set `allow_pickle=True` when loading the file: ```python import numpy as np # Load the file with allow_pickle=True data = np.load('file.npy', allow_pickle=True) ``` 2. Use a different file format that does not use pickling, such as CSV or JSON. 3. If you need to use pickling, consider using a more secure serialization protocol such as the `pickle` module with the `HIGHEST_PROTOCOL` option: ```python import pickle # Serialize data using the highest protocol data = {'key': 'value'} with open('file.pkl', 'wb') as f: pickle.dump(data, f, protocol=pickle.HIGHEST_PROTOCOL) # Load the file with pickle.load() with open('file.pkl', 'rb') as f: data = pickle.load(f) ```

Cannot load file containing pickled data when allow_pickle=False

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