Academic Torrents

Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distribution

**Pl@ntNet-300K** is an image dataset of **306,146 plant images covering 1,081 species**, built from the Pl@ntNet citizen observatory. It has high intrinsic label ambiguity and a long-tailed class distribution. ## What is in this torrent A single file, plantnet_300K.zip (31.7 GB), with the images. ## Why it is interesting - Strong class imbalance: a few species account for most of the images. - Many species look alike, so identification is hard even for experts. These properties make it well suited for evaluating set-valued classification. The authors recommend two metrics, macro-average top-k accuracy and macro-average average-k accuracy, and give baseline results from deep networks trained with cross-entropy. ## Links

AMOS Unlabeled Data Part I: Abdominal CT Scans

**Unlabeled abdominal CT scans** from AMOS, a large-scale, multi-center clinical benchmark for abdominal multi-organ segmentation. These scans have no annotations. They are meant for semi-supervised, self-supervised, unsupervised and domain adaptation research. ## What is in this torrent A single file, amos22_unlabeled_ct_5000_5399.zip (23.3 GB), holding the unlabeled CT volumes with case IDs in the 5000 to 5399 range. ## About AMOS Most abdominal segmentation datasets cover few organs or few patients. AMOS provides 500 CT and 100 MRI scans from multiple centers, vendors, modalities, phases and diseases, each annotated voxel by voxel for 15 abdominal organs. The authors also benchmark several state of the art segmentation models on it. The labeled scans and the unlabeled parts are released separately. ## Other parts of AMOS - Labeled data: 500 CT and 100 MRI scans - Unlabeled Part I: CT scans (this torrent) - Unlabeled Part II: CT scans - Unlabeled Part III: MRI scans ## Links - Paper: https://arxiv.org/abs/2206.08023 - Original record: https://zenodo.org/records/7262586 - DOI: 10.5281/zenodo.7262586 ## License CC BY 4.0. Attribution is required. ## Citation If you use this data, please cite: Ji, Y., Bai, H., Yang, J., Ge, C., Zhu, Y., Zhang, R., Li, Z., Zhang, L., Ma, W., Wan, X., et al. AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation. arXiv preprint arXiv:2206.08023, 2022.

MUSDB18-HQ: Uncompressed Music Source Separation Dataset (150 Songs with Stems)

**MUSDB18-HQ** is the uncompressed (WAV) version of MUSDB18: **150 full-length songs** in a range of styles, each with the stereo mixture and four separated stems. It is the standard reference dataset for music source separation and was the official dataset for the professionally produced music task of SiSEC 2018. ## What is in this torrent A single file, musdb18hq.zip (22.7 GB), with two folders: - train : 100 songs - test : 50 songs Each song folder holds mixture.wav , drums.wav , bass.wav , other.wav and vocals.wav . All signals are stereo, 44.1 kHz, uncompressed WAV. Supervised methods should train on train and evaluate on both subsets. ## Why it matters The goal of source separation is to estimate one or more sources from a mixture, for example removing vocals for karaoke. MUSDB18-HQ gives a common benchmark so methods can be compared fairly. ## Links - Original record: https://zenodo.org/records/3338373 - DOI: 10.5281/zenodo.3338373 ## License For educational and research purposes only. The material must not be used commercially without permission of the copyright holders. The tracks come from several sources: - 100 tracks from the DSD100 set, derived from the Mixing Secrets Free Multitrack Download Library - 46 tracks from MedleyDB (CC BY-NC-SA 4.0) - 2 tracks from Native Instruments stems packs - 2 tracks from The Easton Ellises, via the heise stems remix competition (CC BY-NC-SA 3.0) ## Citation Rafii, Z., Liutkus, A., Stöter, F.-R., Mimilakis, S. I., Bittner, R. MUSDB18-HQ: an uncompressed version of MUSDB18. Zenodo, 2019. https://doi.org/10.5281/zenodo.3338373 If you compare against SiSEC 2018 participants, also cite: Stöter, F.-R., Liutkus, A., Ito, N. The 2018 Signal Separation Evaluation Campaign. LVA/ICA 2018, pp. 293 to 305.

Ultrasound Medial Elbow Dataset

Ultrasound images of the medial elbow from 22 healthy participants, labeled with eight anatomical landmarks on the humerus and ulna. The dataset comprises 4,201 images according to the paper s abstract. Participants were aged 22 to 56, came from five countries and had no elbow symptoms. Images were captured with a SONIMAGE MX1 (Konica Minolta) and an 11 MHz linear probe, at 528 x 672 pixels and 0.0567 mm per pixel. Two orthopedic surgeons scanned each participant lying down with the elbow flexed to 90 degrees. Landmarks were annotated at sub-pixel precision under the supervision of three orthopedic surgeons. The eight landmarks are the distal end of the humeral trochlea, the proximal end of the ulnar coronoid process, the tip of the humeral medial epicondyle, the deep end of the intersection of the medial epicondyle and the ulnar collateral ligament, the distal end of the medial epicondyle, two points on the hyperechoic lines next to the first two landmarks, and the distal point of the ulnar coronoid process. The first two landmarks define the elbow joint space, which is used to assess valgus instability and ulnar collateral ligament injury. The associated paper benchmarks landmark detectors on it, with HRNet reaching a mean joint space error of about 0.12 mm. Paper: "Measurement of Medial Elbow Joint Space Using Landmark Detection", IEEE Access 2025, DOI 10.1109/ACCESS.2025.3602503. License: CC BY-NC 4.0, non-commercial use only. Please cite the paper.

AMOS Unlabeled Data Part III: 1,200 Abdominal MRI Scans

**1,200 unlabeled abdominal MRI scans** from AMOS, a large-scale, multi-center clinical benchmark for abdominal multi-organ segmentation. These scans have no annotations. They are meant for semi-supervised, self-supervised, unsupervised and domain adaptation research. ## What is in this torrent A single file, amos22_unlabeled_mri_7000_8199.zip (10.7 GB), holding the 1,200 MRI volumes (case IDs 7000 to 8199). ## About AMOS Most abdominal segmentation datasets cover few organs or few patients. AMOS provides 500 CT and 100 MRI scans from multiple centers, vendors, modalities, phases and diseases, each annotated voxel by voxel for 15 abdominal organs. The authors also benchmark several state of the art segmentation models on it. The labeled scans and the unlabeled parts are released separately. ## Other parts of AMOS - Labeled data: 500 CT and 100 MRI scans - Unlabeled Part I: CT scans - Unlabeled Part II: CT scans - Unlabeled Part III: 1,200 MRI scans (this torrent) ## Links - Paper: https://arxiv.org/abs/2206.08023 - Original record: https://zenodo.org/records/7295816 - DOI: 10.5281/zenodo.7295816 ## License CC BY 4.0. Attribution is required. ## Citation If you use this data, please cite: Ji, Y., Bai, H., Yang, J., Ge, C., Zhu, Y., Zhang, R., Li, Z., Zhang, L., Ma, W., Wan, X., et al. AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation. arXiv preprint arXiv:2206.08023, 2022.

Waste Classification Dataset

24,705 images of household waste in two classes, organic and recyclable. A restructured version of a Kaggle dataset, with a notebook for data augmentation and a notebook for replicating the experiments. ## Contents * 13,880 organic images and 10,825 recyclable images * RGB .jpg files * Restructured from Sashaank Sekar s Kaggle waste classification dataset (25,077 images), with 372 palette mode images removed * Includes Jupyter notebooks for augmentation and for replicating the experiments ## Related paper * Nnamoko, N., Barrowclough, J., Procter, J. *Solid Waste Image Classification Using Deep Convolutional Neural Network.* Infrastructures 7(4), 47, 2022. [https://doi.org/10.3390/infrastructures7040047](https://doi.org/10.3390/infrastructures7040047) ## Source Mendeley Data, DOI 10.17632/n3gtgm9jxj.2: [https://data.mendeley.com/datasets/n3gtgm9jxj/2](https://data.mendeley.com/datasets/n3gtgm9jxj/2). License: CC BY 4.0. **Reference:** Nnamoko, Barrowclough and Procter, Solid Waste Image Classification Using Deep Convolutional Neural Network. 2022. https://doi.org/10.3390/infrastructures7040047

Lumbar Spine MRI Dataset

Anonymised clinical MRI studies from 515 patients with symptomatic back pain, with sagittal and/or axial slices of the lowest three vertebrae and the lowest three intervertebral discs. ## Contents * 48,345 MRI slices * Mostly 320 x 320 pixels, 12-bit pixel precision * Axial slices are 4 mm thick * Collected by Universitas Multimedia Nusantara and Liverpool John Moores University ## Related papers * Al Kafri, A., Sudirman, S., Hussain, A., Al-Jumeily, D., et al. *Boundary Delineation of MRI Images for Lumbar Spinal Stenosis Detection Through Semantic Segmentation Using Deep Neural Networks.* IEEE Access, 2019. [https://doi.org/10.1109/ACCESS.2019.2908002](https://doi.org/10.1109/ACCESS.2019.2908002) * The Mendeley record also links two IEEE Xplore articles on lumbar spinal stenosis detection: [8622977](https://ieeexplore.ieee.org/document/8622977) and [8678637](https://ieeexplore.ieee.org/document/8678637) ## Source Mendeley Data, DOI 10.17632/k57fr854j2.2: [https://data.mendeley.com/datasets/k57fr854j2/2](https://data.mendeley.com/datasets/k57fr854j2/2). License: CC BY 4.0. **Reference:** Sudirman et al., Lumbar Spine MRI Dataset. 2019. https://doi.org/10.17632/K57FR854J2.2

CRC-HGD-v1 (v5): A Histopathological Image Dataset for Grading Colorectal Cancer

**CRC-HGD-v1 (Mendeley Data version 5)** is a histopathology image dataset for **grading colorectal adenocarcinoma**. It contains **1,914 H&E stained microscopy images** from **214 patients**, labeled with WHO tumor grade. ### At a glance | | | |—-|—-| | Images | 1,914 (JPEG, RGB, 800 x 800 px, 96 DPI) | | Patients | 214 | | Magnifications | 4x, 10x, 20x, 40x | | Stain | Hematoxylin and Eosin (H&E) | | Collected | 2014 to 2019 | | Grading standard | WHO criteria (gland formation) | | Origin | Poursina Hakim Digestive Disease Research Center (PDDRC), Isfahan University of Medical Sciences, Iran | ### Classes | Class | Patients | Images | |—-|—-|—-| | Grade I, well differentiated (more than 95% gland formation) | 106 | 860 | | Grade II, moderately differentiated (50 to 95% gland formation) | 75 | 712 | | Grade III, poorly differentiated (less than 50% gland formation) | 33 | 327 | | Normal colorectal tissue | n/a | 8 (2 per magnification) | | Mixed normal and tumoral tissue | n/a | 7 | Each specimen has one 4x image. The number of 10x, 20x and 40x images varies per specimen, because the pathologist captured extra views where they were informative. ### File naming [SampleNumber]_CRC_[GradeLabel]_[ArchiveNumber]_[Magnification]_[ImageIndex] , for example 01_CRC_G1_16130_4x_1 . ### Notes The samples were gathered by a multidisciplinary team in pathology, surgery, gastroenterology, AI and data science. License: CC BY 4.0. This is version 5 and replaces the earlier version 2 release. Latest updates: https://databiox.com ### References 1. Amjadi E, Bahreini A, Hakimian SM, Emami MH, Fahim A, Rahimi H, Bolhasani H. *CRC-HGD: A Histopathological Image Dataset for Grading Colorectal Cancer.* arXiv:2607.12750, 2026. https://arxiv.org/abs/2607.12750 2. Amjadi E, et al. *CRC-HGD-v1: A Histopathological Image Dataset for Grading Colorectal Cancer.* Mendeley Data, v5, doi:10.17632/yfp5sfj47m.5. https://data.mendeley.com/datasets/yfp5sfj47m/5 3. Kather JN, et al. *NCT-CRC-HE-100K and CRC-VAL-HE-7K: colorectal cancer histology image sets (9 tissue classes).* Zenodo, 2018. https://zenodo.org/record/1214455 4. Pataki BE, et al. *HunCRC: annotated pathological slides to enhance deep learning applications in colorectal cancer screening.* Scientific Data, 2022. https://pubmed.ncbi.nlm.nih.gov/35764660/

Concrete Crack Images for Classification

Images of concrete surfaces from buildings on the METU campus, split into cracked and uncracked classes for crack classification. ## Contents * 40,000 images, 20,000 per class (positive and negative) * 227 x 227 pixel RGB images * Generated from 458 high resolution images (4032 x 3024 pixels) * Varied surface finish and lighting, no augmentation applied ## Related papers * Özgenel, Ç. F. and Gönenç Sorguç, A. *Performance Comparison of Pretrained Convolutional Neural Networks on Crack Detection in Buildings.* ISARC 2018, Berlin. [https://doi.org/10.22260/ISARC2018/0094](https://doi.org/10.22260/ISARC2018/0094) * Zhang, L. et al. *Road Crack Detection Using Deep Convolutional Neural Network.* IEEE ICIP 2016. [https://doi.org/10.1109/ICIP.2016.7533052](https://doi.org/10.1109/ICIP.2016.7533052) (the image generation method follows this paper) ## Source Mendeley Data, DOI 10.17632/5y9wdsg2zt.2: [https://data.mendeley.com/datasets/5y9wdsg2zt/2](https://data.mendeley.com/datasets/5y9wdsg2zt/2). License: CC BY 4.0. **Reference:** Özgenel and Sorguç, Performance Comparison of Pretrained Convolutional Neural Networks on Crack Detection in Buildings. 2018. https://doi.org/10.22260/ISARC2018/0094

Open Hip Dysplasia (radoss-org) Release V2.0

Open dataset for developmental dysplasia of the hip (DDH), released by the radoss-org project (University of Alberta and MEDO.ai). Release V2.0 adds X-ray data and snapshot information to the earlier ultrasound release. **Source paper:** McArthur A, Wichuk S, Burnside S, Kirby A, Scammon A, Sol D, Hareendranathan A, Jaremko JL. *Retuve: Automated Multi-Modality Analysis of Hip Dysplasia with Open Source AI.* arXiv:2504.06422 (2025), https://arxiv.org/abs/2504.06422 **Background:** Hip dysplasia is hard to diagnose early, screening methods are not standardized, and many AI studies cannot be reproduced because the data and code are not shared. Retuve is an open source framework for analyzing hip dysplasia from both ultrasound and X-ray images. It ships with open datasets of expert annotated images, pretrained models with training code and weights, and a Python API. **What the dataset is for:** The images and labels train and evaluate the segmentation and landmark detection models in Retuve. From those outputs the software measures standard diagnostic values such as the alpha angle (ultrasound) and the acetabular index (X-ray). For ultrasound, the pipeline uses ilium/acetabulum and femoral head segmentations and derives five landmarks from them. **Contents:** A single archive, radoss-org/open-hip-dysplasia-2.0.zip (1.27 GB). Per the paper, the initial ultrasound release collates 200 2D ultrasound images from Radiopaedia and Hong Kong Polytechnic University. The paper says labels for an open X-ray dataset from The University of Jordan are planned for later work, and that more data will be released over time. **Code and docs:** https://github.com/radoss-org/open-hip-dysplasia (this release is tag 2.0) and https://github.com/radoss-org/retuve **Licensing:** Listed here as CC BY-NC-SA 3.0 (Attribution, NonCommercial, ShareAlike) to be safe. Zenodo also lists CC BY 4.0 and Apache 2.0 for this record, and the paper says the software is Apache 2.0 but gives no dataset license. Check the repository for which terms cover which files. Imported from Zenodo record 16785185. **Reference:** McArthur et al., Retuve: Automated Multi-Modality Analysis of Hip Dysplasia with Open Source AI. 2025. https://doi.org/10.1016/j.simpa.2025.100791 (arXiv: https://arxiv.org/abs/2504.06422)

Histo-Seg: H&E Whole Slide Image Segmentation Dataset

38 chemically stained H&E whole slide images with ground truth annotations by histopathologists, released for skin tissue segmentation. ## Classes (12) * **Skin layers:** Epidermis, Reticular dermis, Papillary dermis, Dermis, Keratin * **Skin tissues:** Inflammation, Hair follicles, Glands * **Skin cancer:** Basal cell carcinoma, Squamous cell carcinoma, Intraepidermal carcinoma * **Background:** BKG ## Associated paper Abdul Salam, A., Asaf, M. Z., Akram, M. U., Musolff, N., Khan, S., Rafiq, B., Rao, B. *Hematoxylin and Eosin-stained whole slide image dataset annotated for skin tissue segmentation.* Data in Brief 59, 111306 (2025). [https://doi.org/10.1016/j.dib.2025.111306](https://doi.org/10.1016/j.dib.2025.111306) ## Source Mendeley Data, DOI 10.17632/vccj8mp2cg.1: [https://data.mendeley.com/datasets/vccj8mp2cg/1](https://data.mendeley.com/datasets/vccj8mp2cg/1). License: CC BY 4.0.

Triple-H Password Wordlist, Latin Characters Only

A list of real passwords from the Weakpass collection, for password cracking, security testing and password research. A merged list of real passwords from Hashes.org, Hashmob.net, and Hashkiller. Slightly smaller than all-h, but still rock. This wordlist contains only latin characters. ## Details - **Entries:** 2,118,132,951 - **Download:** triple-h.latin.txt.7z (5,670,383,778 bytes, 5.67 GB) - **Extracted size:** 23.35 GB ( triple-h.latin.txt ) - **Source:** [Weakpass](https://weakpass.com/wordlists/triple-h.latin.txt) ## Checksums (MD5) - triple-h.latin.txt.7z : a0f64cdf2bf4ecdc7eff52873e3cfd25 - triple-h.latin.txt : e9893539fa59519642f81f95b812d458 ## Notes This is the official Weakpass torrent, so it shares the same swarm and info hash as the Weakpass release. Intended for authorized security testing and research.

Triple-H Password Wordlist

A list of real passwords from the Weakpass collection, for password cracking, security testing and password research. A merged list of real passwords from Hashes.org, Hashmob.net, and Hashkiller. Slightly smaller than all-h, but still rock. ## Details - **Entries:** 2,125,659,099 - **Download:** triple-h.txt.7z (5,682,254,099 bytes, 5.68 GB) - **Extracted size:** 23.42 GB ( triple-h.txt ) - **Source:** [Weakpass](https://weakpass.com/wordlists/triple-h.txt) ## Checksums (MD5) - triple-h.txt.7z : cd07b424485da3638f8f6a3c469de688 - triple-h.txt : bdcba839713a698173269ae4a849b116 ## Notes This is the official Weakpass torrent, so it shares the same swarm and info hash as the Weakpass release. Intended for authorized security testing and research.

HashMob 2025 Found Passwords, Micro

A list of real passwords from the Weakpass collection, for password cracking, security testing and password research. Wordlist from Hashmob.net, one of the best communities and resources for hash cracking and password research. ## Details - **Entries:** 7,353 - **Download:** hashmob.net_2025.micro.found.7z (27,401 bytes, 27.40 KB) - **Extracted size:** 60.45 KB ( hashmob.net_2025.micro.found ) - **Source:** [Weakpass](https://weakpass.com/wordlists/hashmob.net_2025.micro.found) ## Checksums (MD5) - hashmob.net_2025.micro.found.7z : 9fc91939fe9a60ba5066b70f306d2e4f - hashmob.net_2025.micro.found : 998d7d8ce7d32a0d5acabb457b884bcb ## Notes This is the official Weakpass torrent, so it shares the same swarm and info hash as the Weakpass release. Intended for authorized security testing and research.

Linuxwz Password Wordlist

A list of real passwords from the Weakpass collection, for password cracking, security testing and password research. A mixed list of mostly valid German account details, checked across different sites over the years. Crafted by linuxwz. ## Details - **Entries:** 28,361,494 - **Download:** linuxwz.txt.7z (180,323,773 bytes, 180.32 MB) - **Extracted size:** 337.66 MB ( linuxwz.txt ) - **Source:** [Weakpass](https://weakpass.com/wordlists/linuxwz.txt) ## Checksums (MD5) - linuxwz.txt.7z : bc158305edc7329f1312676e104f31eb - linuxwz.txt : 8eecabf02fbf4fbf1a0cbed63034b55f ## Notes This is the official Weakpass torrent, so it shares the same swarm and info hash as the Weakpass release. Intended for authorized security testing and research.

HashMob 2025 Found Passwords, Small

A list of real passwords from the Weakpass collection, for password cracking, security testing and password research. Wordlist from Hashmob.net, one of the best communities and resources for hash cracking and password research. ## Details - **Entries:** 2,348,326 - **Download:** hashmob.net_2025.small.found.7z (7,433,903 bytes, 7.43 MB) - **Extracted size:** 21.15 MB ( hashmob.net_2025.small.found ) - **Source:** [Weakpass](https://weakpass.com/wordlists/hashmob.net_2025.small.found) ## Checksums (MD5) - hashmob.net_2025.small.found.7z : eee644ebfdb34295ecd21c150a3c2a9c - hashmob.net_2025.small.found : fe7843f8b7affcb399d94b68c289832b ## Notes This is the official Weakpass torrent, so it shares the same swarm and info hash as the Weakpass release. Intended for authorized security testing and research.

SAWL Password Wordlist

A list of real passwords from the Weakpass collection, for password cracking, security testing and password research. SAWL isn t just a collection of leaks, but a collection of victories.
Slice & Dice your hashes with ~1,48billion lines.
This wordlist is the result of roughly 5 months of active hash-cracking, data-sniping & manual labor. There are also many real data-breaches included into this wordlist. It includes high entropy unicode passwords, digits ranging from 1-8 in full, 9-20 from cracking results. Real world human passwords, both ranging from English, all the way to the deepest depths of Russian, Chinese, Arabic, Indian, and many many more varieties of languages. Millions of high entropy passwords are recycled from $HEX[...] results, instead of being treated as junk, as these plaintexts are usually in the "hard-to-crack" range - making this a unique wordlist in on itself. Also includes emojis of all varieties, ALT-code symbols & faces such as the notorious "Lenny-face" and so on(for those who think they re being "clever" with their passwords). Dates (days, months, years and also time on some of them) are included. The reasoning behind the "Swiss Army" name is exactly what it means, it is multi-purpose, multi-lingual, and an all around heavy hitter. Please note, like most big wordlists, there may be a few junk lines intertwined within, but who knows your luck, and what type of hashes you are targeting?

By McFakkinCrackin (Hashkiller.io) ## Details - **Entries:** 1,489,478,458 - **Download:** SAWL.txt.7z (3,932,768,542 bytes, 3.93 GB) - **Extracted size:** 18.28 GB ( SAWL.txt ) - **Source:** [Weakpass](https://weakpass.com/wordlists/sawl.txt) ## Checksums (MD5) - SAWL.txt.7z : b48b9c238b81c567d78f3019a0941216 - SAWL.txt : 288227a8095e3ff409395ef79e22a385 ## Notes This is the official Weakpass torrent, so it shares the same swarm and info hash as the Weakpass release. Intended for authorized security testing and research.

HashMob 2025 Found Passwords, Large

A list of real passwords from the Weakpass collection, for password cracking, security testing and password research. Wordlist from Hashmob.net, one of the best communities and resources for hash cracking and password research. ## Details - **Entries:** 57,363,603 - **Download:** hashmob.net_2025.large.found.7z (157,680,087 bytes, 157.68 MB) - **Extracted size:** 555.44 MB ( hashmob.net_2025.large.found ) - **Source:** [Weakpass](https://weakpass.com/wordlists/hashmob.net_2025.large.found) ## Checksums (MD5) - hashmob.net_2025.large.found.7z : ae77dd4e14983b3500637496c4841b14 - hashmob.net_2025.large.found : c93c74d21586eb51c90bf2158528697c ## Notes This is the official Weakpass torrent, so it shares the same swarm and info hash as the Weakpass release. Intended for authorized security testing and research.

HashMob 2025 Found Passwords, Medium

A list of real passwords from the Weakpass collection, for password cracking, security testing and password research. Wordlist from Hashmob.net, one of the best communities and resources for hash cracking and password research. ## Details - **Entries:** 14,459,679 - **Download:** hashmob.net_2025.medium.found.7z (41,646,105 bytes, 41.65 MB) - **Extracted size:** 135.10 MB ( hashmob.net_2025.medium.found ) - **Source:** [Weakpass](https://weakpass.com/wordlists/hashmob.net_2025.medium.found) ## Checksums (MD5) - hashmob.net_2025.medium.found.7z : 7896d8c039bbeb9c25194637ab15ffdd - hashmob.net_2025.medium.found : 94a98accf2ca7baa2f16e6efb92879cc ## Notes This is the official Weakpass torrent, so it shares the same swarm and info hash as the Weakpass release. Intended for authorized security testing and research.

HashMob 2025 Found Passwords, User

A list of real passwords from the Weakpass collection, for password cracking, security testing and password research. Wordlist from Hashmob.net, one of the best communities and resources for hash cracking and password research. ## Details - **Entries:** 84,287,125 - **Download:** hashmob.net_2025.user.found.7z (308,769,426 bytes, 308.77 MB) - **Extracted size:** 1.03 GB ( hashmob.net_2025.user.found ) - **Source:** [Weakpass](https://weakpass.com/wordlists/hashmob.net_2025.user.found) ## Checksums (MD5) - hashmob.net_2025.user.found.7z : 3367e607206fa0d59589b5baec781208 - hashmob.net_2025.user.found : bbd9ada3a488e2ee92054ecbe036d993 ## Notes This is the official Weakpass torrent, so it shares the same swarm and info hash as the Weakpass release. Intended for authorized security testing and research.

ASLM Password Wordlist

A list of real passwords from the Weakpass collection, for password cracking, security testing and password research. ## Details - **Entries:** 41,591,035 - **Download:** ASLM.txt.7z (133,386,515 bytes, 133.39 MB) - **Extracted size:** 503.09 MB ( ASLM.txt ) - **Source:** [Weakpass](https://weakpass.com/wordlists/aslm.txt) ## Checksums (MD5) - ASLM.txt.7z : 47b58bee5f7a4d6660f7189f022cfa13 - ASLM.txt : 3341635b7c907f555f7344543375c609 ## Notes This is the official Weakpass torrent, so it shares the same swarm and info hash as the Weakpass release. Intended for authorized security testing and research.

HashPwn Cracked Passwords

A list of real passwords from the Weakpass collection, for password cracking, security testing and password research. wordlist from https://forum.hashpwn.net/topic/86/hashpwn-wordlist. This builds upon and supersedes the previous hashpwn* and cyclone_* wordlists and includes collections of both public and private wordlists ## Details - **Entries:** 1,350,059,018 - **Download:** hashpwn.txt.7z (3,750,290,208 bytes, 3.75 GB) - **Extracted size:** 15.15 GB ( hashpwn.txt ) - **Source:** [Weakpass](https://weakpass.com/wordlists/hashpwn.txt) ## Checksums (MD5) - hashpwn.txt.7z : 802714593c624e2079dff086bfe5ff74 - hashpwn.txt : 2b8f68ef7f219a170ca8ad41d94955e9 ## Notes This is the official Weakpass torrent, so it shares the same swarm and info hash as the Weakpass release. Intended for authorized security testing and research.

CLATS Dictionary Password Wordlist

A list of real passwords from the Weakpass collection, for password cracking, security testing and password research. ## Details - **Entries:** 7,872,533,081 - **Download:** clatsdictionary.txt.7z (20,401,089,616 bytes, 20.40 GB) - **Extracted size:** 76.82 GB ( clatsdictionary.txt ) - **Source:** [Weakpass](https://weakpass.com/wordlists/clatsdictionary.txt) ## Checksums (MD5) - clatsdictionary.txt.7z : a0ea74782faf89214fa0c84c1f3811f2 - clatsdictionary.txt : 9d1aefeb8018cfaaab4d55a606f2a523 ## Notes This is the official Weakpass torrent, so it shares the same swarm and info hash as the Weakpass release. Intended for authorized security testing and research.

All-H Password Wordlist, Latin Characters Only

A list of real passwords from the Weakpass collection, for password cracking, security testing and password research. A big list of real passwords merged from Hashes.org, Hashmob.net, Hashkiller, Hashes.com, and Hashpwn. This version contains only latin characters. ## Details - **Entries:** 2,711,494,267 - **Download:** all-h.latin.txt.7z (7,161,576,972 bytes, 7.16 GB) - **Extracted size:** 30.44 GB ( all-h.latin.txt ) - **Source:** [Weakpass](https://weakpass.com/wordlists/all_h.latin.txt) ## Checksums (MD5) - all-h.latin.txt.7z : 0bc60483386795f99f88df04c8fa90b7 - all-h.latin.txt : ec2b8cb87f6d5edc1a27c86adef9315b ## Notes This is the official Weakpass torrent, so it shares the same swarm and info hash as the Weakpass release. Intended for authorized security testing and research.

Ignis Top 10,000 Passwords

A list of real passwords from the Weakpass collection, for password cracking, security testing and password research. https://github.com/ignis-sec/Pwdb-Public ## Details - **Entries:** 10,000 - **Download:** ignis-10K.txt.7z (38,284 bytes, 38.28 KB) - **Extracted size:** 80.46 KB ( ignis-10K.txt ) - **Source:** [Weakpass](https://weakpass.com/wordlists/ignis_10k.txt) ## Checksums (MD5) - ignis-10K.txt.7z : 7131bda1e042ac8cbe19aea85e508bd4 - ignis-10K.txt : e2bfa126fd50e8d778a42c9eeeb804b4 ## Notes This is the official Weakpass torrent, so it shares the same swarm and info hash as the Weakpass release. Intended for authorized security testing and research.

RockYou Subset 60 Password Wordlist

A list of real passwords from the Weakpass collection, for password cracking, security testing and password research.

HK HLM Found Passwords

A list of real passwords from the Weakpass collection, for password cracking, security testing and password research. ## Details - **Entries:** 38,647,798 - **Download:** hk_hlm_founds.txt.gz (265,622,346 bytes, 265.62 MB) - **Extracted size:** 408.28 MB ( hk_hlm_founds.txt ) - **Source:** [Weakpass](https://weakpass.com/wordlists/hk_hlm_founds.txt) ## Checksums (MD5) - hk_hlm_founds.txt.gz : adaa6a5e4d7b314c98d8ffcb5212739d - hk_hlm_founds.txt : 0a0177fa7bebc4655360b62b580c6b11 ## Notes This is the official Weakpass torrent, so it shares the same swarm and info hash as the Weakpass release. Intended for authorized security testing and research.

Private Dictionary Password Wordlist

A list of real passwords from the Weakpass collection, for password cracking, security testing and password research. Grabbed somewhere from https://forum.hashkiller.io/index.php?forums/wordlist-dictionaries-rules.37/ ## Details - **Entries:** 206,282,738 - **Download:** dictionary_private.dic.7z (1,348,381,532 bytes, 1.35 GB) - **Extracted size:** 2.86 GB ( dictionary_private.dic ) - **Source:** [Weakpass](https://weakpass.com/wordlists/dictionary_private.dic) ## Checksums (MD5) - dictionary_private.dic.7z : 45b60e0036cbca67f75329bbd954da98 - dictionary_private.dic : be8e4dac74a6512c33e5b8297e045279 ## Notes This is the official Weakpass torrent, so it shares the same swarm and info hash as the Weakpass release. Intended for authorized security testing and research.

Cyclone Combined Hashes.org and Hashkiller Passwords

A list of real passwords from the Weakpass collection, for password cracking, security testing and password research. https://github.com/cyclone-github/wordlist ## Details - **Entries:** 1,469,156,499 - **Download:** cyclone.hashesorg.hashkiller.combined.txt.7z (7,013,072,123 bytes, 7.01 GB) - **Extracted size:** 16.13 GB ( cyclone.hashesorg.hashkiller.combined.txt ) - **Source:** [Weakpass](https://weakpass.com/wordlists/cyclone.hashesorg.hashkiller.combined.txt) ## Checksums (MD5) - cyclone.hashesorg.hashkiller.combined.txt.7z : 8862f249284be981fa625ad929fd77ed - cyclone.hashesorg.hashkiller.combined.txt : e7d55dd18a03300dfb596a0d6b82f356 ## Notes This is the official Weakpass torrent, so it shares the same swarm and info hash as the Weakpass release. Intended for authorized security testing and research.

Hashes.org Cracked Passwords

A list of real passwords from the Weakpass collection, for password cracking, security testing and password research. Hashes.org full archive ## Details - **Entries:** 1,397,237,946 - **Download:** Hashes.org.7z (3,694,093,984 bytes, 3.69 GB) - **Extracted size:** 15.02 GB ( Hashes.org ) - **Source:** [Weakpass](https://weakpass.com/wordlists/hashes.org) ## Checksums (MD5) - Hashes.org.7z : 304155b6f18aabbdd1ef434488c6a5ab - Hashes.org : 3f18a05fad98e5d3b3bc9a141b6c0ff8 ## Notes This is the official Weakpass torrent, so it shares the same swarm and info hash as the Weakpass release. Intended for authorized security testing and research.