I have gotten a few messages at work where it seems like someone went through extra effort to highlight the word “congratulations” and set a onMouseOver trigger that throws digital confetti.
After a while, I wondered how people did that. What other animations can you trigger? And it turns out the answer is … they didn’t! Microsoft has a setting called “Joyful Animations” that identifies a few phrases within messages you receive and sets these triggers.
There are many times I need to copy “stuff” from a website that is structured in such a way that simply copy/pasting the table data is impossible. Screen prints work, but I usually want the table of data in Excel so I can add notations and such. In these cases, running JavaScript from the browser’s developers console lets you access the underlying text elements.
Right click on one of the text elements and select “Inspect”
Now copy the element’s XPath
Read the value — we don’t generally want just this one element … but the path down to the “tbody” tag looks like a reasonable place to find the values within the table.
/html/body/div[1]/div/div/div[2]/div[2]/div[2]/div/div[3]/div/div/div[3]/div/div/div/table/tbody/a[4]/td[2]/div/span[2]
Use JavaScript to grab all of the TD elements under the tbody:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | // Define the XPath expression to select all <td> elements within the specific <tbody>const xpathExpression = "/html/body/div[1]/div/div/div[2]/div[2]/div[2]/div/div[3]/div/div/div[3]/div/div/div/table/tbody//td";// Use document.evaluate to get all matching <td> nodesconst nodesSnapshot = document.evaluate(xpathExpression, document, null, XPathResult.ORDERED_NODE_SNAPSHOT_TYPE, null);// Log the number of nodes found (for debugging purposes)console.log("Total <td> elements found:", nodesSnapshot.snapshotLength);// Iterate over the nodes and log their text contentfor (let i = 0; i < nodesSnapshot.snapshotLength; i++) { let node = nodesSnapshot.snapshotItem(i); if (node) { const textContent = node.textContent.trim(); if (textContent) { // Only log non-empty content console.log(textContent); } }} |
Voila! I redacted some data below, but it’s just a list of values, one per line.
We’ve seen posts from a few people questioning the integrity of the election results. Some are vague — the fact that Republican operatives were able to copy data from voting machines and then spend a few years possibly looking at how to exploit them is certainly a valid concern, but there’s not data available to prove or dispute this. One, however, has analysis of votes cast. https://substack.com/inbox/post/151721941 from Stephen Spoonamore.
So I started pulling numbers — drop-off votes, I presume, are where the presidential candidate far outperformed down-ballot same-party candidates. That seems … plausible. A high number of “bullet ballots”, however, could be worrisome. And that, it seems, could be constructed from public data. How many people voted for president? How many voted for a Senator? Now, this doesn’t work if the state didn’t have a Senate election. (NC had a governor race, so I’m including that as well). I’m sure some people show up to vote for the top and are done. Spoonamore even says this happens – they’ve got stats for previous elections.
Do the number of people who voted for someone as the president v/s the number of people who voted for someone for senate fall outside a reasonable range?
| State | Senate – Repub | Senate – Dem | Senate – Total | Pres – Repub | Pres – Dem | Pres – Total | %R | %D | %Tot | Pres Party | Notes |
| NJ | 1,767,773 | 2,151,322 | 4,015,343 | 1,966,571 | 2,218,074 | 4,268,422 | 10.109% | 3.009% | 5.93% | D | 86% reporting senate, 91% reporting pres |
| RI | 195,919 | 293,288 | 489,207 | 214,406 | 285,156 | 510,749 | 8.622% | -2.852% | 4.22% | D | |
| IN | 1,659,416 | 1,097,061 | 2,829,710 | 1,720,347 | 1,163,587 | 2,933,684 | 3.542% | 5.717% | 3.54% | R | |
| CA | 6,303,942 | 9,026,904 | 15,330,846 | 6,072,371 | 9,266,468 | 15,842,804 | -3.814% | 2.585% | 3.23% | D | |
| CT | 679,799 | 1,002,049 | 1,711,215 | 739,638 | 994,549 | 1,763,712 | 8.090% | -0.754% | 2.98% | D | |
| OH | 2,812,778 | 2,599,761 | 5,602,804 | 3,180,116 | 2,533,699 | 5,765,017 | 11.551% | -2.607% | 2.81% | R | |
| NY | 3,155,521 | 4,491,802 | 7,686,522 | 3,484,126 | 4,413,632 | 7,897,758 | 9.431% | -1.771% | 2.67% | D | |
| ME | 277,873 | 84,819 | 799,861 | 372,323 | 431,915 | 821,382 | 25.368% | 80.362% | 2.62% | D | Independent won Senate race |
| WA | 1,549,187 | 2,252,578 | 3,801,765 | 1,530,924 | 2,245,849 | 3,898,837 | -1.193% | -0.300% | 2.49% | D | |
| NM | 405,995 | 497,346 | 903,341 | 423,405 | 478,813 | 923,458 | 4.112% | -3.871% | 2.18% | D | |
| DE | 197,742 | 283,273 | 500,750 | 214,351 | 289,758 | 511,697 | 7.749% | 2.238% | 2.14% | D | |
| WY | 198,371 | 63,706 | 262,077 | 192,633 | 70,527 | 267,353 | -2.979% | 9.671% | 1.97% | R | |
| TN | 1,916,591 | 1,027,428 | 3,005,522 | 1,964,499 | 1,055,069 | 3,062,922 | 2.439% | 2.620% | 1.87% | R | |
| MN | 1,291,725 | 1,792,474 | 3,186,151 | 1,519,032 | 1,656,979 | 3,240,913 | 14.964% | -8.177% | 1.69% | D | |
| UT | 914,667 | 464,504 | 1,463,139 | 883,768 | 562,549 | 1,487,882 | -3.496% | 17.429% | 1.66% | R | |
| NC | 2,241,308 | 3,069,506 | 5,591,558 | 2,898,428 | 2,715,380 | 5,679,658 | 22.672% | -13.041% | 1.55% | R | Governor – Mark Robinson race |
| MI | 2,693,680 | 2,712,686 | 5,577,183 | 2,816,636 | 2,736,533 | 5,662,504 | 4.365% | 0.871% | 1.51% | R | |
| NH* | 434,857 | 360,144 | 811,120 | 395,346 | 417,544 | 822,528 | -9.994% | 13.747% | 1.39% | D | Governor |
| NV | 677,046 | 701,105 | 1,464,728 | 751,205 | 705,197 | 1,484,840 | 9.872% | 0.580% | 1.35% | R | |
| NE | 498,228 | 435,743 | 933,971 | 563,866 | 369,819 | 946,041 | 11.641% | -17.826% | 1.28% | R | |
| FL | 5,977,706 | 4,603,077 | 10,757,415 | 6,110,125 | 4,683,038 | 10,893,547 | 2.167% | 1.707% | 1.25% | R | |
| AZ | 1,595,761 | 1,676,335 | 3,347,964 | 1,770,242 | 1,582,860 | 3,389,319 | 9.856% | -5.905% | 1.22% | R | |
| MO | 1,646,686 | 1,236,505 | 2,959,514 | 1,750,625 | 1,199,751 | 2,991,373 | 5.937% | -3.063% | 1.07% | R | |
| MS | 761,833 | 450,718 | 1,212,551 | 746,305 | 465,357 | 1,225,239 | -2.081% | 3.146% | 1.04% | R | |
| VA | 2,019,822 | 2,416,698 | 4,436,520 | 2,075,009 | 2,335,076 | 4,482,177 | 2.660% | -3.495% | 1.02% | D | |
| PA | 3,399,571 | 3,384,431 | 6,963,694 | 3,543,609 | 3,423,287 | 7,034,768 | 4.065% | 1.135% | 1.01% | R | |
| MA | 1,365,445 | 2,041,693 | 3,419,392 | 1,251,308 | 2,126,545 | 3,453,459 | -9.121% | 3.990% | 0.99% | D | |
| VT | 116,512 | 229,542 | 363,234 | 119,392 | 235,792 | 366,399 | 2.412% | 2.651% | 0.86% | D | |
| WI | 1,643,692 | 1,672,647 | 3,387,420 | 1,697,784 | 1,668,077 | 3,415,154 | 3.186% | -0.274% | 0.81% | R | |
| TX | 5,990,744 | 5,031,479 | 11,289,280 | 6,393,598 | 4,835,297 | 11,380,171 | 6.301% | -4.057% | 0.80% | R | |
| WV | 514,079 | 207,548 | 756,925 | 533,556 | 214,309 | 762,390 | 3.650% | 3.155% | 0.72% | R | |
| ND | 241,569 | 121,602 | 363,171 | 246,505 | 112,327 | 365,059 | 2.002% | -8.257% | 0.52% | R | |
| MD | 1,292,858 | 1,645,428 | 3,007,545 | 1,034,331 | 1,896,833 | 3,008,460 | -24.995% | 13.254% | 0.03% | D | |
| MT | 319,640 | 276,255 | 607,174 | 352,014 | 231,858 | 602,949 | 9.197% | -19.148% | -0.70% | R |
Doesn’t look like it — NJ is the highest, but the reporting is not as complete for the Senate race. RI just shows >95% reporting for both, so it could be a similar “wait a few weeks for the real numbers” situation.
These stats were updated 03 Dec, 2024.
I’ll prefix this with a caveat — when Zookeeper and the Kafka metadata properties topic ID values don’t match up … there’s something wrong beyond “hey, make this string the same as that string and try again”. Look for communication issues, disk issues, etc that might lead to bad data. And, lacking any cause, the general recommendation is to drop and recreate the topic.
But! “Hey, I am going to delete all the data in this Kafka topic. Everyone good with that?” is seldom answered with a resounding “of course, we don’t actually want to keep the data we specifically configured a system to keep”. And you need to keep the topic around even though something has clearly gone sideways. Fortunately, you can manually update either the zookeeper topic ID or the one on disk. I find it easier to update the one on disk in Kafka because this change can be reverted. Stop all of the Kafka servers. The following script runs on each Kafka server – identifies all of the folders within the Kafka data for the partition and changes the wrong topic ID to the right one. Then start the Kafka servers again, and the partition should be functional. For now.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | #!/bin/bash# Function to check if Kafka is stoppedcheck_kafka_stopped() { if systemctl is-active --quiet kafka; then echo "Error: Kafka service is still running. Please stop Kafka before proceeding." exit 1 else echo "Kafka service is stopped. Proceeding with backup and update." fi}# Define the base directory where Kafka stores its dataDATA_DIR="/path/todata-kafka"# Define the topic prefix to search forTOPIC_PREFIX="MY_TOPIC_NAME-"# Old and new topic IDsOLD_TOPIC_ID="2xSmlPMBRv2_ihuWgrvQNA"NEW_TOPIC_ID="57kBnenRTo21_VhEhWFOWg"# Date string for backup file namingDATE_STR=$(date +%Y%m%d)# Check if Kafka is stoppedcheck_kafka_stopped# Find all directories matching the topic pattern and process each onefor dir in $DATA_DIR/${TOPIC_PREFIX}*; do # Construct the path to the partition.metadata file metadata_file="$dir/partition.metadata" # Check if the metadata file exists if [[ -f "$metadata_file" ]]; then # Backup the existing partition.metadata file backup_file="$dir/partmetadata.$DATE_STR" echo "Backing up $metadata_file to $backup_file" cp "$metadata_file" "$backup_file" # Use sed to replace the line containing the old topic_id with the new one echo "Updating topic_id in $metadata_file" sed -i "s/^topic_id: $OLD_TOPIC_ID/topic_id: $NEW_TOPIC_ID/" "$metadata_file" else echo "No partition.metadata file found in $dir" fidoneecho "Backup and topic ID update complete." |
How do you get the Kafka metadata and Zookeeper topic IDs? In Zookeeper, ask it:
1 2 3 | kafkaserver::fixTopicID # bin/zookeeper-shell.sh $(hostname):2181get /brokers/topics/MY_TOPIC_NAME{"removing_replicas":{},"partitions":{"2":[251,250],"5":[249,250],"27":[248,247],"12":[248,251],"8":[247,248],"15":[251,250],"21":[247,250],"18":[249,248],"24":[250,248],"7":[251,247],"1":[250,249],"17":[248,247],"23":[249,247],"26":[247,251],"4":[248,247],"11":[247,250],"14":[250,248],"20":[251,249],"29":[250,249],"6":[250,251],"28":[249,248],"9":[248,249],"0":[249,248],"22":[248,251],"16":[247,251],"19":[250,249],"3":[247,251],"10":[251,249],"25":[251,250],"13":[249,247]},"topic_id":"57kBnenRTo21_VhEhWFOWg","adding_replicas":{},"version":3} |
Kafka’s is stored on disk in each folder for a topic partition:
1 2 3 | kafkaserver::fixTopicID # cat /path/to/data-kafka/MY_TOPIC_NAME-29/partition.metadataversion: 0topic_id: 2xSmlPMBRv2_ihuWgrvQNA |
Once the data is processed, it would be a good idea to recreate the topic … but ensuring the two topic ID values match up will get you back online.
Like my script that pulls the AD site information – this lets me see what subnets are defined and which sites are assigned to those subnets. I was able to quickly confirm that the devices that had problems communicating with Active Directory don’t have a site defined. Way back in 2000, we created a “catch all” 10.0.0.0/8 subnet and assigned it to the user authentication site. New networks on a whole different addressing scheme don’t have a site assignment. It should still work, but the application in question has historically had issues with going the “Ok, list ’em all” route.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 | from ldap3 import Server, Connection, ALL, SUBTREE, Tlsimport sslimport getpass# Attempt to import USERNAME and PASSWORD from config.pytry: from config import USERNAME, PASSWORDexcept ImportError: USERNAME, PASSWORD = None, None# Define constantsLDAP_SERVER = 'ad.example.com'LDAP_PORT = 636def get_subnets_and_sites(username, password): # Set up TLS configuration tls_configuration = Tls(validate=ssl.CERT_REQUIRED, version=ssl.PROTOCOL_TLSv1_2) # Connect to the LDAP server server = Server(LDAP_SERVER, port=LDAP_PORT, use_ssl=True, tls=tls_configuration, get_info=ALL) connection = Connection(server, user=username, password=password, authentication='SIMPLE', auto_bind=True) # Define the search base for subnets search_base = 'CN=Subnets,CN=Sites,CN=Configuration,DC=example,DC=com' # Change this to match your domain's DN search_filter = '(objectClass=subnet)' # Filter to find all subnet objects search_attributes = ['cn', 'siteObject'] # Retrieve the common name and site object references # Perform the search connection.search(search_base, search_filter, SUBTREE, attributes=search_attributes) # Extract and return subnets and their site assignments subnets_sites = [] for entry in connection.entries: subnet_name = entry.cn.value site_dn = entry.siteObject.value if entry.siteObject else "No site assigned" subnets_sites.append((subnet_name, site_dn)) return subnets_sitesdef print_subnets_and_sites(subnets_sites): if subnets_sites: print("\nSubnets and their Site Assignments:") for subnet, site in subnets_sites: print(f"Subnet: {subnet}, Site: {site}") else: print("No subnets found in the domain.")def main(): # Prompt for username and password if not available in config.py username = USERNAME if USERNAME else input("Enter your LDAP username: ") password = PASSWORD if PASSWORD else getpass.getpass("Enter your LDAP password: ") subnets_sites = get_subnets_and_sites(username, password) print_subnets_and_sites(subnets_sites)if __name__ == "__main__": main() |
One down side of not administering the Active Directory domain anymore is that I don’t have the quick GUI tools that show you how “stuff” is set up. Luckily, the sites are all reflected in AD objects that can be read by authenticated users:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 | from ldap3 import Server, Connection, ALL, SIMPLE, SUBTREE, Tlsimport sslimport getpass# Attempt to import USERNAME and PASSWORD from config.pytry: from config import USERNAME, PASSWORDexcept ImportError: USERNAME, PASSWORD = None, None# Define constantsLDAP_SERVER = 'ad.example.com'LDAP_PORT = 636def get_all_sites(username, password): # Set up TLS configuration tls_configuration = Tls(validate=ssl.CERT_REQUIRED, version=ssl.PROTOCOL_TLSv1_2) # Connect to the LDAP server server = Server(LDAP_SERVER, port=LDAP_PORT, use_ssl=True, tls=tls_configuration, get_info=ALL) connection = Connection(server, user=username, password=password, authentication='SIMPLE', auto_bind=True) # Define the search base for sites search_base = 'CN=Sites,CN=Configuration,DC=example,DC=com' # Update to match your domain's DN structure search_filter = '(objectClass=site)' # Filter to find all site objects search_attributes = ['cn'] # We only need the common name (cn) of the sites # Perform the search connection.search(search_base, search_filter, SUBTREE, attributes=search_attributes) # Extract and return site names site_names = [entry['cn'].value for entry in connection.entries] return site_namesdef print_site_names(site_names): if site_names: print("\nAD Sites:") for site in site_names: print(f"- {site}") else: print("No sites found in the domain.")def main(): # Prompt for username and password if not available in config.py username = USERNAME if USERNAME else input("Enter your LDAP username: ") password = PASSWORD if PASSWORD else getpass.getpass("Enter your LDAP password: ") site_names = get_all_sites(username, password) print_site_names(site_names)if __name__ == "__main__": main() |
The current data from https://liveresults.ohiosos.gov/ shows the five biggest counties in Ohio are all in the top ten “bad” voter turnout counties. Ohio’s unofficial turnout is 69.69%. At least so far.
| County | Registered Voters | Ballots Counted | Unofficial Voter Turnout | Outstanding Absentees | Outstanding Provisionals | Total Precincts | Election Day Precincts Reporting | Election Day % Precincts Reporting | Metro | NonVoter Count |
| Greene | 122,193 | 49,991 | 40.91 | 1,267 | 2,044 | 146 | 146 | 100 | 72,204 | |
| Lucas | 304,907 | 187,235 | 61.41 | 2,856 | 4,426 | 303 | 303 | 100 | Toledo | 117,664 |
| Lawrence | 43,020 | 26,586 | 61.8 | 239 | 423 | 84 | 84 | 100 | 16,434 | |
| Cuyahoga | 893,801 | 571,397 | 63.93 | 15,697 | 14,183 | 967 | 967 | 100 | Cleveland | 322,394 |
| Athens | 38,592 | 24,956 | 64.67 | 265 | 1,537 | 56 | 56 | 100 | 13,635 | |
| Franklin | 903,493 | 592,418 | 65.57 | 9,235 | 19,563 | 888 | 888 | 100 | Columbus | 311,073 |
| Pike | 18,010 | 12,072 | 67.03 | 113 | 314 | 22 | 22 | 100 | 5,938 | |
| Hamilton | 604,178 | 405,825 | 67.17 | 6,360 | 12,659 | 562 | 562 | 100 | Cincinnati | 198,352 |
| Montgomery | 373,582 | 251,763 | 67.39 | 4,909 | 6,200 | 381 | 381 | 100 | Dayton | 121,825 |
| Scioto | 45,434 | 30,666 | 67.5 | 247 | 1,041 | 77 | 77 | 100 | 14,766 |
Interestingly, I am still able to manually upgrade the log4j components of ElasticSearch 7.7.0 to keep off the “naughty list” of vulnerabilities at work. I am successfully using 2.24.1 with ElasticSearch 7.7.0, OpenDistro, and the S3 backup plug-in.
Same script as before — just downloaded newer JARs, placed them into the /tmp folder on each server, and set the l4jver variable to the current release.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | export l4jver=2.24.1systemctl stop elasticsearch # Remove old jarsrm --interactive=never /opt/elk/elasticsearch/lib/log4j-api-*.jarrm --interactive=never /opt/elk/elasticsearch/lib/log4j-core-*.jarrm --interactive=never /opt/elk/elasticsearch/modules/x-pack-identity-provider/log4j-slf4j-impl-*.jarrm --interactive=never /opt/elk/elasticsearch/modules/x-pack-security/log4j-slf4j-impl-*.jarrm --interactive=never /opt/elk/elasticsearch/plugins/opendistro_security/log4j-slf4j-impl-*.jarrm --interactive=never /opt/elk/elasticsearch/modules/x-pack-core/log4j-1.2-api-*.jar rm --interactive=never /opt/elk/elasticsearch/plugins/repository-s3/log4j-1.2-api-*.jar # Copy in upgraded jarscp /tmp/log4j-api-$l4jver*.jar /opt/elk/elasticsearch/lib/cp /tmp/log4j-core-$l4jver*.jar /opt/elk/elasticsearch/lib/cp /tmp/log4j-slf4j-impl-$l4jver*.jar /opt/elk/elasticsearch/modules/x-pack-identity-provider/cp /tmp/log4j-slf4j-impl-$l4jver*.jar /opt/elk/elasticsearch/modules/x-pack-security/cp /tmp/log4j-slf4j-impl-$l4jver*.jar /opt/elk/elasticsearch/plugins/opendistro_security/cp /tmp/log4j-1.2-api-$l4jver*.jar /opt/elk/elasticsearch/modules/x-pack-core/cp /tmp/log4j-1.2-api-$l4jver*.jar /opt/elk/elasticsearch/plugins/repository-s3/# Fix permissionschown elkadmin:elkadmin /opt/elk/elasticsearch/lib/log4j*chown elkadmin:elkadmin /opt/elk/elasticsearch/modules/x-pack-core/log4j*chown elkadmin:elkadmin /opt/elk/elasticsearch/modules/x-pack-identity-provider/log4j*chown elkadmin:elkadmin /opt/elk/elasticsearch/modules/x-pack-security/log4j*chown elkadmin:elkadmin /opt/elk/elasticsearch/plugins/repository-s3/log4j*chown elkadmin:elkadmin /opt/elk/elasticsearch/plugins/opendistro_security/log4j*systemctl start elasticsearch |
I’ve been doing a lot of testing with SNMP this week, and it is helpful to have an ad hoc SNMP client that can retrieve data before you go about trying to retrieve and parse data in your own code. I’m a lot more confident telling someone they gave me a bad community string if someone else’s “known working” program fails! Enter snmpwalk
Some of our devices return data out of order, so I need the -Cc (turn off check for increasing OID numbers). The following command walks the 1.3.6.1.2.1.2.2.1.2 (ifDescr) tree for host 10.13.115.82 using the community string C0mmun1tyStr1ngH3r3:
1 2 3 4 5 6 7 8 9 10 11 12 | snmpwalk -v 2c -c C0mmun1tyStr1ngH3r3 -Cc "10.13.115.82" .1.3.6.1.2.1.2.2.1.2IF-MIB::ifDescr.1 = STRING: eth 6/0IF-MIB::ifDescr.2 = STRING: eth 7/0IF-MIB::ifDescr.1000072 = STRING: XGige 6/0IF-MIB::ifDescr.1000073 = STRING: XGige 6/1IF-MIB::ifDescr.1000074 = STRING: XGige 6/2IF-MIB::ifDescr.1000075 = STRING: XGige 6/3IF-MIB::ifDescr.1000076 = STRING: XGige 6/4IF-MIB::ifDescr.1000077 = STRING: XGige 6/5IF-MIB::ifDescr.1000078 = STRING: XGige 6/6IF-MIB::ifDescr.1000079 = STRING: XGige 6/7IF-MIB::ifDescr.1000080 = STRING: Gige 6/0 |
I was curious if, instead of getting prompted for the local admin account for each application I want to remove, I could run PowerShell “as a different user” then use it to uninstall an application or list of applications. In this case, all of the .NET 6 stuff. Answer: absolutely.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | # List all installed applications containing string "NET"# Get-WmiObject -Class Win32_Product | Where-Object { $_.Name -like '*NET*' } | Select-Object -Property Name# Define a static list of application names to uninstall$appsToUninstall = @( 'Microsoft .NET Runtime - 6.0.36 (x86)', 'Microsoft .NET Host FX Resolver - 6.0.36 (x64)', 'Microsoft .NET Host - 6.0.36 (x64)', 'Microsoft .NET Host FX Resolver - 6.0.36 (x86)', 'Microsoft .NET Host - 6.0.36 (x86)', 'Microsoft .NET Runtime - 6.0.36 (x64)', 'Microsoft.NET.Workload.Emscripten.net6.Manifest (x64)')# Loop through each application name in the static listforeach ($appName in $appsToUninstall) { # Find the application object by name $app = Get-WmiObject -Class Win32_Product | Where-Object { $_.Name -eq $appName } # Check if the application was found before attempting to uninstall if ($app) { Write-Output "Uninstalling $($app.Name)..." $app.Uninstall() | Out-Null Write-Output "$($app.Name) has been uninstalled successfully." } else { Write-Output "Application $appName not found." }} |