Overview
overview
4Static
static
4FortniteV1...ts.bat
windows7-x64
1FortniteV1...ts.bat
windows10-2004-x64
1FortniteV1...bot.py
windows7-x64
3FortniteV1...bot.py
windows10-2004-x64
3FortniteV1...nar.py
windows7-x64
3FortniteV1...nar.py
windows10-2004-x64
3FortniteV1...rt.bat
windows7-x64
1FortniteV1...rt.bat
windows10-2004-x64
1FortniteV1.../ui.py
windows7-x64
3FortniteV1.../ui.py
windows10-2004-x64
3FortniteV1...box.py
windows7-x64
3FortniteV1...box.py
windows10-2004-x64
3FortniteV1...ent.py
ubuntu-18.04-amd64
1FortniteV1...ent.py
debian-9-armhf
1FortniteV1...ent.py
debian-9-mips
1FortniteV1...ent.py
debian-9-mipsel
1FortniteV1...els.py
windows7-x64
3FortniteV1...els.py
windows10-2004-x64
3FortniteV1...ing.py
windows7-x64
3FortniteV1...ing.py
windows10-2004-x64
3FortniteV1...der.py
windows7-x64
3FortniteV1...der.py
windows10-2004-x64
3FortniteV1...ect.py
windows7-x64
3FortniteV1...ect.py
windows10-2004-x64
3FortniteV1...ort.py
windows7-x64
3FortniteV1...ort.py
windows10-2004-x64
3FortniteV1...onf.py
windows7-x64
3FortniteV1...onf.py
windows10-2004-x64
3FortniteV1...t__.py
windows7-x64
3FortniteV1...t__.py
windows10-2004-x64
3FortniteV1...10.pyc
windows7-x64
3FortniteV1...10.pyc
windows10-2004-x64
3Behavioral task
behavioral1
Sample
FortniteV1.75/lunar-main/install_requirements.bat
Resource
win7-20240705-en
Behavioral task
behavioral2
Sample
FortniteV1.75/lunar-main/install_requirements.bat
Resource
win10v2004-20240704-en
Behavioral task
behavioral3
Sample
FortniteV1.75/lunar-main/lib/aimbot.py
Resource
win7-20240705-en
Behavioral task
behavioral4
Sample
FortniteV1.75/lunar-main/lib/aimbot.py
Resource
win10v2004-20240704-en
Behavioral task
behavioral5
Sample
FortniteV1.75/lunar-main/lunar.py
Resource
win7-20240705-en
Behavioral task
behavioral6
Sample
FortniteV1.75/lunar-main/lunar.py
Resource
win10v2004-20240704-en
Behavioral task
behavioral7
Sample
FortniteV1.75/lunar-main/start.bat
Resource
win7-20240704-en
Behavioral task
behavioral8
Sample
FortniteV1.75/lunar-main/start.bat
Resource
win10v2004-20240704-en
Behavioral task
behavioral9
Sample
FortniteV1.75/lunar-main/ui.py
Resource
win7-20240704-en
Behavioral task
behavioral10
Sample
FortniteV1.75/lunar-main/ui.py
Resource
win10v2004-20240704-en
Behavioral task
behavioral11
Sample
FortniteV1.75/lunar-main/yolov7/deploy/triton-inference-server/boundingbox.py
Resource
win7-20240221-en
Behavioral task
behavioral12
Sample
FortniteV1.75/lunar-main/yolov7/deploy/triton-inference-server/boundingbox.py
Resource
win10v2004-20240704-en
Behavioral task
behavioral13
Sample
FortniteV1.75/lunar-main/yolov7/deploy/triton-inference-server/client.py
Resource
ubuntu1804-amd64-20240611-en
Behavioral task
behavioral14
Sample
FortniteV1.75/lunar-main/yolov7/deploy/triton-inference-server/client.py
Resource
debian9-armhf-20240611-en
Behavioral task
behavioral15
Sample
FortniteV1.75/lunar-main/yolov7/deploy/triton-inference-server/client.py
Resource
debian9-mipsbe-20240611-en
Behavioral task
behavioral16
Sample
FortniteV1.75/lunar-main/yolov7/deploy/triton-inference-server/client.py
Resource
debian9-mipsel-20240418-en
Behavioral task
behavioral17
Sample
FortniteV1.75/lunar-main/yolov7/deploy/triton-inference-server/labels.py
Resource
win7-20240705-en
Behavioral task
behavioral18
Sample
FortniteV1.75/lunar-main/yolov7/deploy/triton-inference-server/labels.py
Resource
win10v2004-20240704-en
Behavioral task
behavioral19
Sample
FortniteV1.75/lunar-main/yolov7/deploy/triton-inference-server/processing.py
Resource
win7-20240508-en
Behavioral task
behavioral20
Sample
FortniteV1.75/lunar-main/yolov7/deploy/triton-inference-server/processing.py
Resource
win10v2004-20240508-en
Behavioral task
behavioral21
Sample
FortniteV1.75/lunar-main/yolov7/deploy/triton-inference-server/render.py
Resource
win7-20240221-en
Behavioral task
behavioral22
Sample
FortniteV1.75/lunar-main/yolov7/deploy/triton-inference-server/render.py
Resource
win10v2004-20240704-en
Behavioral task
behavioral23
Sample
FortniteV1.75/lunar-main/yolov7/detect.py
Resource
win7-20240704-en
Behavioral task
behavioral24
Sample
FortniteV1.75/lunar-main/yolov7/detect.py
Resource
win10v2004-20240704-en
Behavioral task
behavioral25
Sample
FortniteV1.75/lunar-main/yolov7/export.py
Resource
win7-20240705-en
Behavioral task
behavioral26
Sample
FortniteV1.75/lunar-main/yolov7/export.py
Resource
win10v2004-20240704-en
Behavioral task
behavioral27
Sample
FortniteV1.75/lunar-main/yolov7/hubconf.py
Resource
win7-20240704-en
Behavioral task
behavioral28
Sample
FortniteV1.75/lunar-main/yolov7/hubconf.py
Resource
win10v2004-20240704-en
Behavioral task
behavioral29
Sample
FortniteV1.75/lunar-main/yolov7/models/__init__.py
Resource
win7-20240508-en
Behavioral task
behavioral30
Sample
FortniteV1.75/lunar-main/yolov7/models/__init__.py
Resource
win10v2004-20240704-en
Behavioral task
behavioral31
Sample
FortniteV1.75/lunar-main/yolov7/models/__pycache__/__init__.cpython-310.pyc
Resource
win7-20240705-en
Behavioral task
behavioral32
Sample
FortniteV1.75/lunar-main/yolov7/models/__pycache__/__init__.cpython-310.pyc
Resource
win10v2004-20240704-en
General
-
Target
FortniteV1.75.zip
-
Size
117.6MB
-
MD5
e8cfe8a3a49b127d7152f8b3e40ea586
-
SHA1
8d9292cf4c94f1a2c9a42f1e5742f827d49a155d
-
SHA256
3fa6ec2a3bc8cee86b4806dd22833fb131004281d59e7e1d2cdb316e630288fa
-
SHA512
f8056f4049ad062fa6783a8c5e4f9c5394a1a4b4ff7e9fc80a8f333b3959208a2cb16f80ab548cdd897827debccf0153651be0903104b8f4f1ac190b17fbc741
-
SSDEEP
1572864:MJTtjORtdBIrZHN3ho/KueWR0wRr5rLe8lTosDavAC+cWqZpO/Sbt2KY/417j+1A:Mctw3/WJa86x4cWqZ4/q2Kc41H6lm
Malware Config
Signatures
-
HTTP links in PDF interactive object 1 IoCs
Detects HTTP links in interactive objects within PDF files.
resource yara_rule static1/unpack001/FortniteV1.75/lunar-main/yolov7/paper/yolov7.pdf pdf_with_link_action
Files
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FortniteV1.75.zip.zip
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FortniteV1.75/lunar-main/READ ME/HOW TO USE.txt
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FortniteV1.75/lunar-main/READ ME/Patch Notes.txt
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FortniteV1.75/lunar-main/best v5.pt.zip
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archive/data.pkl
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http://002cientcon-volutionalneuralnetworksformobilevisionapplications.ar
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http://002cientend-to-endob-jectdetectionwithlearnablesparsity.ar
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http://002ednetworkformultipletasks.ar
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http://250uhl.Ob-jectsaspoints.ar
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http://Abetterreal-timeobjectdetectoronmobiledevices.ar
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http://Acompositebackbonenetworkarchitectureforob-jectdetection.ar
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http://AnevolvedversionofYOLO.ar
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http://Anincrementalimprovement.ar
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http://DETRwithimproveddenoisinganchorboxesforend-to-endob-jectdetection.ar
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http://Differ-entiablelabelassignmentfordenseobjectdetection.ar
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http://ExceedingYOLOseriesin2021.ar
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http://KarenSimonyanandAndrewZisserman.Verydeepconvo-lutionalnetworksforlarge-scaleimagerecognition.ar
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http://Multi-objecttrackingbyassociatingeverydetectionbox.ar
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http://Neuralarchitecturesearchformultipletasksinonerun.ar
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http://Optimalspeedandaccuracyofobjectdetection.ar
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http://andAnuragRanjan.Anim-provedonemillisecondmobilebackbone.ar
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http://andGuiguangDing.Re-parameterizingyouroptimizersratherthanarchitectures.ar
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http://andKaimingHe.Exploringplainvisiontransformerbackbonesforobjectde-tection.ar
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http://andTsung-YiLin.Simpletrainingstrategiesandmodelscalingforobjectdetection.ar
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http://andYuQiao.Visiontransformeradapterfordensepredictions.ar
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http://github.com/RangiLyu/nanodet/releases/tag/v1.0.0-alpha-1,2021.1,2[55]NingningMa,XiangyuZhang,Hai-TaoZheng,andJianSun.Shuf
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http://github.com/ultralytics/yolov5/releases/tag/v6.1,2022.2,7,10[24]ShuxuanGuo,JoseMAlvarez,andMathieuSalzmann.Ex-pandNets:Linearover-parameterizationtotraincompactconvolutionalnetworks.AdvancesinNeuralInformationProcessingSystems
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http://gmail.com
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http://iis.sinica.edu.tw
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https://github.com/RangiLyu/nanodet/releases/tag/v1.0.0-alpha-1
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https://github.com/WongKinYiu/yolor#yolor
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https://github.com/WongKinYiu/yolor#yolor.Thesethreehyper-parametersettingscanbefoundathttps://github.com/WongKinYiu/yolov7/tree/main/data,andtheyarerespectivelynamedby
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https://github.com/WongKinYiu/yolov7
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https://github.com/WongKinYiu/yolov7.1.IntroductionReal-timeobjectdetectionisaveryimportanttopicincomputervision,asitisoftenanecessarycomponentincomputervisionsystems.Forexample,multi-objecttrack-ing[94,93],autonomousdriving[40,18],robotics[35,58],medicalimageanalysis[34,46],etc.Thecomputingde-vicesthatexecutereal-timeobjectdetectionisusuallysomemobileCPUorGPU,aswellasvariousneuralprocessingunits
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https://github.com/WongKinYiu/yolov7/tree/main/cfg/deploy
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https://github.com/WongKinYiu/yolov7/tree/main/cfg/deploy.FigureA1:ArchitecturesofYOLOv7P5models.FigureA2:ArchitecturesofYOLOv7P6models.ForE-ELANarchitecture,sinceouredgedevicedonotsupportgroupconvolutionandshuf
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https://github.com/WongKinYiu/yolov7/tree/main/data
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https://github.com/ultralytics/yolov5/releases/tag/v6.1
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