Booking.com Phishers May Leave You With Reservations

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A number of cybercriminal innovations are making it easier for scammers to cash in on your upcoming travel plans. This story examines a recent spear-phishing campaign that ensued when a California hotel had its booking.com credentials stolen. We’ll also explore an array of cybercrime services aimed at phishers who target hotels that rely on the world’s most visited travel website.

According to the market share website statista.com, booking.com is by far the Internet’s busiest travel service, with nearly 550 million visits in September. KrebsOnSecurity last week heard from a reader whose close friend received a targeted phishing message via SMS within minutes of making a reservation at a California hotel via booking.com.

The missive bore the name of the hotel and referenced details from their reservation, claiming that booking.com’s anti-fraud system required additional information about the customer before the reservation could be finalized.

The phishing SMS our reader’s friend received after making a reservation at booking.com in late October.

In an email to KrebsOnSecurity, booking.com confirmed one of its partners had suffered a security incident that allowed unauthorized access to customer booking information.

“Our security teams are currently investigating the incident you mentioned and can confirm that it was indeed a phishing attack targeting one of our accommodation partners, which unfortunately is not a new situation and quite common across industries,” booking.com replied. “Importantly, we want to clarify that there has been no compromise of Booking.com’s internal systems.”

The phony booking.com website generated by visiting the link in the text message.

Booking.com said it now requires 2FA, which forces partners to provide a one-time passcode from a mobile authentication app (Pulse) in addition to a username and password.

“2FA is required and enforced, including for partners to access payment details from customers securely,” a booking.com spokesperson wrote. “That’s why the cybercriminals follow-up with messages to try and get customers to make payments outside of our platform.”

“That said, the phishing attacks stem from partners’ machines being compromised with malware, which has enabled them to also gain access to the partners’ accounts and to send the messages that your reader has flagged,” they continued.

It’s unclear, however, if the company’s 2FA requirement is enforced for all or just newer partners. Booking.com did not respond to questions about that, and its current account security advice urges customers to enable 2FA.

A scan of social media networks showed this is not an uncommon scam.

In November 2023, the security firm SecureWorks detailed how scammers targeted booking.com hospitality partners with data-stealing malware. SecureWorks said these attacks had been going on since at least March 2023.

“The hotel did not enable multi-factor authentication (MFA) on its Booking.com access, so logging into the account with the stolen credentials was easy,” SecureWorks said of the booking.com partner it investigated.

In June 2024, booking.com told the BBC that phishing attacks targeting travelers had increased 900 percent, and that thieves taking advantage of new artificial intelligence (AI) tools were the primary driver of this trend.

Booking.com told the BCC the company had started using AI to fight AI-based phishing attacks. Booking.com’s statement said their investments in that arena “blocked 85 million fraudulent reservations over more than 1.5 million phishing attempts in 2023.”

The domain name in the phony booking.com website sent via SMS to our reader’s friend — guestssecureverification[.]com — was registered to the email address ilotirabec207@gmail.com. According to DomainTools.com, this email address was used to register more than 700 other phishing domains in the past month alone.

Many of the 700+ domains appear to target hospitality companies, including platforms like booking.com and Airbnb. Others seem crafted to phish users of Shopify, Steam, and a variety of financial platforms. A full, defanged list of domains is available here.

A cursory review of recent posts across dozens of cybercrime forums monitored by the security firm Intel 471 shows there is a great demand for compromised booking.com accounts belonging to hotels and other partners.

One post last month on the Russian-language hacking forum BHF offered up to $5,000 for each hotel account. This seller claims to help people monetize hacked booking.com partners, apparently by using the stolen credentials to set up fraudulent listings.

A service advertised on the English-language crime community BreachForums in October courts phishers who may need help with certain aspects of their phishing campaigns targeting booking.com partners. Those include more than two million hotel email addresses, and services designed to help phishers organize large volumes of phished records. Customers can interact with the service via an automated Telegram bot.

Some cybercriminals appear to have used compromised booking.com accounts to power their own travel agencies catering to fellow scammers, with up to 50 percent discounts on hotel reservations through booking.com. Others are selling ready-to-use “config” files designed to make it simple to conduct automated login attempts against booking.com administrator accounts.

SecureWorks found the phishers targeting booking.com partner hotels used malware to steal credentials. But today’s thieves can just as easily just visit crime bazaars online and purchase stolen credentials to cloud services that do not enforce 2FA for all accounts.

That is exactly what transpired over the past year with many customers of the cloud data storage giant Snowflake. In late 2023, cybercriminals figured out that while tons of companies had stashed enormous amounts of customer data at Snowflake, many of those customer accounts were not protected by 2FA.

Snowflake responded by making 2FA mandatory for all new customers. But that change came only after thieves used stolen credentials to siphon data from 160 companies — including AT&T, Lending Tree and TicketMaster.

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Ngioweb Remains Active 7 Years Later

Read Time:16 Minute, 11 Second

Executive Summary

Seven years after its first appearance, the proxy server botnet Ngioweb continues its impactful presence on the internet with barely any relevant changes in its original code. Threat actors have continued to actively use Nbioweb extensively to scan for vulnerable devices (including a new arsenal of exploits) which can be turned into new proxies. All infected systems are then sold in the black market for pennies as residential proxies via Nsocks.

Key Takeaways:

Nsocks offers 30,000 IPs globally and sells them for prices under $1.50 for 24hours of access.
The main targets are residential ISP users, representing more than 75% of the infected users.
The threat actors behind Ngioweb are using dedicated scanners per vulnerability/device to avoid exposing their whole arsenal.
Linear eMerge, Zyxel routers, and Neato vacuums are some of the most targeted devices, but there are many other routers, cameras, and access control systems being targeted.

Ngioweb Background

In August 2018, Check Point published a report and deep analysis on a new multifunctional proxy server botnet named Ngioweb. The proxy service was being loaded by the banking malware family Ramnit. In their report, Check Point reported that the first sample was observed in the second half of 2017.

After the publication of that initial report, additional articles were released.  Netlab wrote two blogs that took a deep-dive into the available Ngioweb samples, describing the domain generating algorithm (DGA), communication protocols, command and control (C&C) infrastructure, exploited CVEs for D-Link and Netgear devices, its updated features, and more. For details on the nature of Ngioweb, read Netlab’s blog which includes coverage that remains valid today.[t1] [PA2] 

Most recently, in 2024 TrendMicro reported how cybercriminals and nation states are leveraging residential proxy providers to perform malicious actions. For example, one of these nation-state actors, Pawn Storm, had been using a network of hundreds of small office and home office (SOHO) routers through January 2024, when the FBI neutralized part of the botnet. During TrendMicro’s investigation of several EdgeOS infected systems, they identified that in addition to Pawn Storm, the Canadian Pharmacy gang and a threat actor using Ngioweb malware were also abusing the infected device.

Malware Analysis
This last spring 2024, LevelBlue Labs identified scanning activity on vulnerable devices and those devices were carrying Ngioweb as the delivered payload. Depending on the targeted system, the exploit used a downloader for several CPU architectures or directly contained the specific payload for the targeted system.

One of the samples obtained during 2024 (be285b77211d1a33b7ae1665623a9526f58219e20a685b6548bc2d8e857b6b44) allowed LevelBlue Labs to determine that the Ngioweb trojan our researchers identified works very similarly to how Ngioweb worked in 2019, with only a few, slight modifications to Ngioweb’s original code added to elude detections or nosy security researchers.

DGA domains
Domain generation algorithms (DGA) aren’t new to Ngioweb (they have been identified as present in previous reports, specifically when Netlab sinkholed several domains). The Ngioweb sample LevelBlue Labs analyzed uses a very similar algorithm to those that have been identified in the past. The DGA selects domains from a pool of thousands, depending on the malware configurations, and it will then start trying to connect to all of them until it finds a resolving domain. However, in an attempt to avoid the first stage C&C being sinkholed by researchers, the threat actors using the sample LevelBlue Labs analyzed have included a sanity check. All active C&C communications carry a unique and encrypted TXT response that acts as a signature of its authenticity. This response carries two TXT results, a ‘p’ and a ‘v’ parameter, followed by 173 characters encoded in base64, which correspond to 127 bytes of encoded data (shown in figure 1). Responses are not deciphered, however that does not matter as this peculiar characteristic’s purpose is to identify any malicious domains associated with Ngioweb.

Figure 1. TXT results of C&C domain.

 

C&C Responses
After the malware identifies an active C&C and checks the TXT response, it reports the successful infection and the characteristics of the machine. This communication remains unchanged and reports the data encoded with base64 as the value of parameter h (shown in figure 2 below).

Figure 2: C&C Beacon

The exfiltrated data in the example decodes to:

id=a39eb3ed78b7401f (corresponding to the first 15 characters of the machine-id)
&v=x86_64 (architecture)
&sv=271a (the malware version number)
&lodmhafqlgzmlmrk (16 random values)

In the past, threat actors have relied on ‘metric’ and ‘min.js’ as the destination paths for this request. However, in the samples LevelBlue Labs analyzed, the have added additional variations to the filename, such as: ‘request.js’, ‘piwik.js’, or ‘pendo.js’.  This is potentially added to elude detections that only look for previously known filenames. However, this slight change in the communication isn’t enough to deter the Suricata signature created by LevelBlue Labs in 2021 (available in USM Anywhere Detection Methods).

After the above communications take place, the C&C typically responds with a WAIT command until it has a connection to establish. When a connection is established, the system begins working as a residential proxy without the victim’s awareness.

Black Market

LevelBlue Labs has identified systems infected with the Ngioweb trojan being sold as residential proxy servers in the Nsock webpage. We are unaware if this is the only page selling Ngioweb infected systems. Nsocks was created in July of 2022, shortly after other main competitors in the black market residential proxy business were taken down (e.g. 911, vip72, and LuxSocks).

Nsocks sells access to SOCKS5 proxies all over the world, allowing buyers to choose them by location (state, city, or zip code), ISP, speed, type of infected device and newness. The prices vary between $0.20 to $1.50 for 24-hour access and depends on the device type and time since infection. Nsocks offers discounts if the IP can be found in public blacklists. As an anonymity measure for the threat actors behind this service and their users, it only allows payments in Bitcoin or Litecoin.

Figure 3: Nsocks portal

Ngioweb’s size has grown exponentially over the years. According to the same Netlabs 2020 blog mentioned earlier in this article, the Ngioweb botnet that year had a size of around 3,000 daily IPs. Two years later, the Nsocks published its first advertisement in black hat forums (2022), in which they advertised the size of their botnet as 14,000 systems. Since 2022, the number has more than doubled, with the current pool size of almost 30,000 different IPs. This means Ngioweb has grown 10 times its size in just four years.

Some of the most popular countries for proxies include:

U.S.: 13,056 available proxies
U.K.: 4,236 available proxies
Canada: 2,286 available proxies
Japan: 605 available proxies

Figure 4: Nsocks heat map in August 2024

Among the infected systems, Nsocks categorizes their victims based on the type of organization or the purpose of the infected IP:

Organization (ORG)
Government (GOV)
Content Delivery Network (CDN)
Educational (EDU)
Commercial (COM)
Data Center/Web Hosting/Transit (DCH)
Fixed Line ISP (ISP): Individual users with an Internet connection in their houses.
Mobile ISP (MOB): A mobile phone acting as a proxy or a SIM card acting as a router and providing Internet to other systems.
ISP/MOB: This category combines ISPs and MOBs when the developers behind Nsocks can’t differentiate between either of them.

The table 1 below shows the distribution of proxies by their category. Despite the variety of types, over 75% of the infected systems correspond to ISPs or ISP/MOB. Following ISP and ISP/MOB, DCH is the third most common proxy type found among infected devices. The number of DCH in Europe, Australia/Oceania, and Asia is significantly higher compared to other proxy types. There is a small amount of ORG, GOV, CDN and EDU servers, but they don’t seem to be a priority target for the threat actors based on the numbers below. Rather, they are likely an accidental encounter.

The high difference in the percentages between ISPs and ISP/MOB categories versus the others is potentially due to the combination of two things: 1) the threat actors are finding it easier to infect individuals in their houses in mass and/or 2) there is a higher interest by their customers to acquire those residential proxy IPs.

Proxy Type
USA
America
Europe
AU, Oceania
Asia
Africa

ORG
0,12%
0,04%
0%
0%
0,03%
0,27%

GOV
0,02%
0,04%
0%
0%
0,03%
0%

CDN
0,33%
0%
0,06%
0%
0,03%
0%

EDU
0,13%
0,25%
0,10%
0%
0,54%
0,27%

COM
2,63%
1,07%
1,78%
0,79%
1,78%
5,22%

DCH
8,42%
7,01%
13,31%
14,62%
12,66%
0,82%

ISP
75,55%
74,13%
27,81%
25,30%
44,16%
39,29%

MOB
2,65%
1,11%
2,21%
3,16%
6,78%
19,78%

ISP/MOB
7,60%
15,67%
53,43%
50,20%
33,06%
33,52%

Table 1. Distribution of proxies by category.

Infection Process

Unsurprisingly, the biggest upgrade in the Ngioweb malware during the last few years has been the arsenal of vulnerabilities and zero days it uses to infect victims. The main target continues to be routers and household IoT devices like cameras, vacuums, access controls, etc.

Linear (also referred to as Nice/Linear)
Linear is a US-based company that sells access control and surveillance systems for doors, garages, gates, and more. The company’s eMerge E3-Series product line is strongly targeted by the threat actors behind Ngioweb. They have been observed having two dedicated IPs scanning only for exploitable devices and hosting the subsequent payloads: 154.7.253[.]113 and 216.107.139[.]52. The fact that these two IPs are exclusively dedicated to exploiting Linear eMerge devices reflects a scanning infrastructure where each scanner has their dedicated vulnerability, in order to avoid sharing its arsenal of exploits all together.

The identified scanning activity from these two IPs attempts to exploit CVE-2019-7256 in ports 3306, 5172, 5984, 9306 and 50000. This exploit allows OS command injection of any content in between the grave accents (%60). In the example shown in figure 5, the attackers use curl to download a payload from of the mentioned IPs.

Figure 5: Exploit attempt for CVE-2019-7256

The filepath used by the attackers may look like a random set of characters, but they conceal two messages. The first message is used to identify which command and shell worked with the vulnerable system, in order to return and execute the payload. The scans include a wide-range of commands to attempt to download the Ngioweb payload from the default Linux shell or a Busybox one. The first two characters in the file path correspond to the shell and commands used to download the payload (in order to return to the vulnerable device and execute the payload). For example, the scan shown in the previous figure 5 uses the default Linux Shell together with a Curl command. Therefore, the file path starts with SC. LevelBlue Labs observed additional shell and commands as show in figure 6:[t3] [PA4] 

Shell
Letter
Command
Letter2

Linux
S
Curl
C

 
 
Wget
W

BusyBox
B
Ftp
F

 
 
Tfpt
T

Figure 6: Additional shell and commands identified by LevelBlue Labs

The second message in the file path shown figure 5 blocks security researchers from accessing their payloads. The first half indicates the time when the scan occurred, while the second half is a unique identifier for the system that was scanned. If the download attempt is not coming from the expected system, the server will respond closing the connection.

The scanners are executed periodically, sampling several commands per device and delivering new payloads periodically — this includes systems that are already infected. This scanning activity observed by LevelBlue Labs through honeypots is considerably large, considering that it comes from just two source IPs.

Figure 6: scanning activity histogram for the past 2 months (EU date format)

Linear is one of the most targeted systems, however it is not the most exposed software  observed by LevelBlue Labs. The Labs research team has identified around 1,500 Linear systems exposed to the Internet. Neato, a company that made robotic vacuums and shut down in 2023, has approximately 35,000 devices exposed in the US.

Zyxel Routers
Zyxel routers, in particular the version vmg8623-t50b, seems to be a commonly targeted by Ngioweb to obtain IPs located in the UK. Released on October 2019 and mainly dedicated for ISP purposes, Zyxel routers have been impacted historically by severe vulnerabilities leveraged by other botnets which allowed command injection (CVE-2023-28769CVE-2023-28770CVE-2022-45440) https://www.zyxel.com/service-provider/emea/en/zyxel-security-advisory-multiple-vulnerabilities.

LevelBlue Labs has observed that infected systems are vulnerable to the known proof of concepts (PoCs) exploits for vulnerabilities published to date. This means either the attacker is leveraging unpublished PoCs for the same vulnerabilities or they have identified a zero day. Either way, LevelBlue has not identified scanning activity carrying Ngioweb.

Identifying the total number of vulnerable Zyxel routers is challenging, since many of the Zyxel versions have very similar characteristics. However, many are also vulnerable to the same vulnerabilities. LevelBlue Labs estimates  there could be 10,000 vulnerable Zyxel devices open to the Internet, mostly located in the U.K. For that reason, it is commonly seen as a Nsocks resource in this region.

Neato Vacuum Cleaners
Neato vacuums ceased selling operations in May 2023, but despite the close to end of life support, there are still 128,000 Neato devices connected to the internet. Approximately 35,000 are in the U.S. and 15,000 are in India. However, the Ngioweb infected devices that have been observed are mainly among the IPs in India.

In 2020, security researchers Fabian Ullrich and Jiska Classen presented research at DEF CON 27 that showed Neato vacuums leading to remote code execution on the robots. LevelBlue Labs has not yet identified the exploit being used to infect these devices.

Other
LevelBlue Labs and other researchers have identified additional devices that are being infected with Ngioweb (REOlink, Comtrend Routers, NUUO Network Video Recorder, and Hikvision). Additionally, a seller of CCTV hardware with presence in dozens of countries operating with different company names is reselling their products and services. However, these devices seem to be far less impacted than the devices mentioned earlier in this article.

Conclusion

Twenty-four hour proxy access to the infected systems is being sold for pennies today, making it very affordable for attackers and threat actors to anonymize their malicious activities. NSOCKS is yet another reseller of residential proxy services, adding to the proliferation of this threat that individuals or families with internet service at home are being used as victims, completely unaware of this activity.

Detection Methods

The following associated detection methods are in use by LevelBlue Labs. They can be used by readers to tune or deploy detections in their own environments or for aiding additional research.

Shell

alert dns $HOME_NET any -> any 53 (msg:”AV TROJAN NSOCKS Query TXT”; flowbits:noalert; flowbits:set,nsocks; content:”|01 00 00 01 00 00 00 00 00|”; depth:10; offset:2; content:”|00 00 10 00 01|”; classtype:trojan-activity; sid:4002778; rev:1; metadata:created_at 2024_08_20, updated_at 2024_08_20;)

alert dns any 53 -> $HOME_NET any (msg:”AV TROJAN NSOCKS Malicious Domain DNS response”; flowbits:isset,nsocks; content:”p=”; content:”v=”; pcre:/(p|v)=[a-z-A-Z0-9/+]{100,}=?=?xc0x0c/; pcre:/(p|v)=[a-z-A-Z0-9/+]{100,}=?=?x00x00/R; isdataat:!10,relative; classtype:trojan-activity; sid:4002779; rev:1; metadata:created_at 2024_08_20, updated_at 2024_08_20;)

alert http $HOME_NET any -> $EXTERNAL_NET any (msg:”AV TROJAN Linux.Ngioweb Stage CnC Activity (set)”; flow:established,to_server; flowbits:set,g; flowbits:noalert; content:”GET”; http_method; content:”.js?h=aWQ9″; http_uri; depth:30; fast_pattern; pcre:/.js?h=aWQ9[a-zA-Z0-9%/+]+={0,2}$/U; content:”Mozilla/5.0|20 28|Windows NT 10.0|3b 20|Win64|3b 20|x64|3b 20|rv:59.0|29| Gecko/20100101 Firefox/59.0″; http_user_agent; endswith; threshold:type both, count 1, seconds 3600, track by_src; reference:md5,53009eb13c9beacd2d3437d61a4ab262; classtype:trojan-activity; sid:4002457; rev:1; metadata:created_at 2021_01_12, updated_at 2021_01_12;)

alert http $EXTERNAL_NET any -> $HOME_NET any (msg:”ET EXPLOIT Linear eMerge E3 Unauthenticated Command Injection Inbound (CVE-2019-7256)”; flow:established,to_server; http.uri; content:”/card_scan_decoder.php?No=”; depth:26; reference:cve,2019-7256; reference:url,packetstormsecurity.com/files/155256/Linear-eMerge-E3-1.00-06-card_scan_decoder.php-Command-Injection.html; classtype:attempted-admin; sid:2029207; rev:2; metadata:affected_product Linux, attack_target IoT, created_at 2019_12_30, cve CVE_2019_7256, deployment Perimeter, signature_severity Minor, updated_at 2020_10_27, mitre_tactic_id TA0008, mitre_tactic_name Lateral_Movement, mitre_technique_id T1210, mitre_technique_name Exploitation_Of_Remote_Services;)

alert http $HOME_NET any -> $EXTERNAL_NET any (msg:”ET EXPLOIT Linear eMerge E3 Unauthenticated Command Injection Outbound (CVE-2019-7256)”; flow:established,to_server; http.uri; content:”/card_scan_decoder.php?No=”; depth:26; reference:cve,2019-7256; reference:url,packetstormsecurity.com/files/155256/Linear-eMerge-E3-1.00-06-card_scan_decoder.php-Command-Injection.html; classtype:attempted-admin; sid:2029213; rev:2; metadata:affected_product Linux, attack_target IoT, created_at 2019_12_31, cve CVE_2019_7256, deployment Perimeter, signature_severity Major, updated_at 2020_10_27, mitre_tactic_id TA0008, mitre_tactic_name Lateral_Movement, mitre_technique_id T1210, mitre_technique_name Exploitation_Of_Remote_Services;)

Associated Indicators (IOCs)

The following technical indicators are associated with the reported intelligence. A list of indicators is also available in the OTX Pulse. Please note, the pulse may include other activities related but out of the scope of the report.

Mapped to MITRE ATT&CK

The findings of this report are mapped to the following MITRE ATT&CK Matrix techniques:

TA0001: Initial Access

T1189: Drive-by Compromise
T1190: Exploit Public-Facing Application

TA0003: Persistence

T1543: Create or Modify System Process
T1543.001: Launch Agent

TA0005: Defense Evasion

T1140: Deobfuscate/Decode Files or Information
T1497: Virtualization/Sandbox Evasion

T1497.001: System Checks

T1222: File and Directory Permissions Modification

T1222.002: Linux and Mac File and Directory Permissions Modification

T1562: Impair Defenses

T1562.001: Disable or Modify Tools

TA0007: Discovery

T1082: System Information Discovery

TA0011: Command and Control

T1090: Proxy

TA0040: Impact

T1496: Resource Hijacking

References

2018 Check Point report: https://research.checkpoint.com/2018/ramnits-network-proxy-servers

2019 Netlab report: https://blog.netlab.360.com/an-analysis-of-linux-ngioweb-botnet-en

2020 Netlab report: https://blog.netlab.360.com/linux-ngioweb-v2-going-after-iot-devices-en

2024 Pawn storm FBI disruption: https://www.justice.gov/opa/pr/justice-department-conducts-court-authorized-disruption-botnet-controlled-russian

2024 TrendMicro report: https://www.trendmicro.com/en_us/research/24/e/router-roulette.html

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opendmarc-1.4.2-21.fc41

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FEDORA-2024-513cf04db3

Packages in this update:

opendmarc-1.4.2-21.fc41

Update description:

Fix for CVE-2024-25768 – Closes rhbz#2266175 rhbz#2266174
Convert to %autorelease and %autochangelog
Simplify spec
Remove checks on if systemd is present
Remove checks on old Fedora releases
Remove checks on EL7 or older
Use %make macros
Other misc changes

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opendmarc-1.4.2-21.el9

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FEDORA-EPEL-2024-267524943f

Packages in this update:

opendmarc-1.4.2-21.el9

Update description:

Fix for CVE-2024-25768 – Closes rhbz#2266175 rhbz#2266174
Convert to %autorelease and %autochangelog
Simplify spec
Remove checks on if systemd is present
Remove checks on old Fedora releases
Remove checks on EL7 or older
Use %make macros
Other misc changes

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opendmarc-1.4.2-21.fc40

Read Time:17 Second

FEDORA-2024-044dcdff8e

Packages in this update:

opendmarc-1.4.2-21.fc40

Update description:

Fix for CVE-2024-25768 – Closes rhbz#2266175 rhbz#2266174
Convert to %autorelease and %autochangelog
Simplify spec
Remove checks on if systemd is present
Remove checks on old Fedora releases
Remove checks on EL7 or older
Use %make macros
Other misc changes

Read More

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