我在 c# .net 应用程序中使用了一些数据序列化
c# .net 反序列化 xml 二进制文件
public static object DeSerializeXmlBinary(byte[] bytes)
{
using (XmlDictionaryReader rdr = XmlDictionaryReader.CreateBinaryReader(bytes, XmlDictionaryReaderQuotas.Max))
{
NetDataContractSerializer serializer;
serializer = new NetDataContractSerializer();
serializer.AssemblyFormat = FormatterAssemblyStyle.Simple;
return serializer.ReadObject(rdr);
}
}
我如何在 PHP 中反序列化相同的内容
更新1 要反序列化的字符串:https://pastebin.com/FrUNsm9H
将字符串解析为php函数并序列化。
解析上述序列化字符串后,基于 64 的响应将是
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
更新2 数据库中的字符串
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
到目前为止我发现了什么
base64_decode()
gzinflate()
步骤 1 和 2 我已在 C# 代码库中确认,并且输出是预期的。
更新3
解析c#中的代码
ms = new MemoryStream(((System.Byte[])DecompressData(System.Convert.FromBase64String(Convert.ToString(__DBSTRING__)))));
byte[] byteArr = ms.ToArray();
___OUTPUT___= Convert.ToBase64String(byteArr);
private static object DecompressData(byte[] inb)
{
byte[] outb;
using (MemoryStream istream = new MemoryStream(inb))
{
using (MemoryStream ostream = new MemoryStream())
{
using (System.IO.Compression.DeflateStream sr =
new System.IO.Compression.DeflateStream(istream, System.IO.Compression.CompressionMode.Decompress))
{
sr.CopyTo(ostream);
} outb = ostream.ToArray();
}
} return DeSerializeXmlBinary(outb);
}
xml部分是我不明白为什么?
查看了 .NET XML 二进制格式规范后, 这是从序列化
byte[]
数组中提取数据的简单方法:
function extractData($ser)
{
$pos = 154;
if($ser[$pos] != "\xA0")
throw new Exception('Bytes16Text record not found');
$a = unpack('vlen', substr($ser, $pos+1, 2));
$len = $a['len'];
$data = substr($ser, $pos+3, $len);
$pos += 3 + $len;
if($ser[$pos] != "\x9F")
throw new Exception('Bytes8TextWithEndElement record not found');
$a = unpack('Clen', substr($ser, $pos+1, 1));
$len = $a['len'];
$data .= substr($ser, $pos+2, $len);
return $data;
}
$db = file_get_contents('db.txt');
$ser = gzinflate(base64_decode($db));
$image = extractData($ser);
file_put_contents('image.jpg', $image);